Execellent Course for beginners

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At first glance, the topics looked familiar, but the depth surprised me. The course went well beyond basic FEA theory and forced a closer look at how ASME Section VIII Division 2 Part 5 is actually applied on real pressure vessel jobs. Stress linearization, protection against plastic collapse, and buckling checks were covered in a way that tied directly to vessels used in oil & gas processing, like separators and heat exchangers, as well as steam drums in energy utilities. One challenge was wrapping my head around the acceptance criteria in Part 5 and how sensitive results can be to mesh density and load combinations. It took some effort to reconcile what the solver spits out versus what the code actually wants you to evaluate, especially for fatigue screening and local stress checks at nozzles and welds. A practical takeaway was learning how to properly define stress classification lines and load cases so the results stand up to code review. That filled a gap from past projects where FEA was done, but not fully code-aligned. The material feels immediately usable, and I can see this being useful in long-term project work.

Initially, I wasn’t sure what to expect from this course. Coming from oil & gas projects where FEA is often treated as a black box to satisfy ASME Section VIII, the focus on Division 2 Part 5 methodology was a useful reset. The material did a good job tying elastic-plastic analysis back to real pressure vessel cases seen in refineries and energy utilities, especially around nozzles, local stresses, and thermal gradients from startup/shutdown cycles. One challenge was keeping the boundary conditions realistic. Translating piping loads and saddle supports into an FEA model without over-constraining it took some iteration, and the course didn’t shy away from showing how small assumptions can drive non-conservative results. That mirrors industry practice more than most training does. The discussion on stress linearization versus equivalent stress checks highlighted edge cases where hand calculations or Div 1 rules can be misleading. A practical takeaway was a clearer workflow for Part 5 assessments—when elastic analysis is enough, when plastic collapse needs to be checked, and how to document it so reviewers don’t push back. Compared to typical vendor reports, this approach is more defensible at a system level. I can see this being useful in long-term project work.

Coming into this course, I had some prior exposure to the subject, mostly running linear FEA checks for pressure vessels in oil & gas projects. What was missing was a solid grasp of how ASME Section VIII Division 2 Part 5 actually ties analysis results to code acceptance. This course helped close that gap. The sections on elastic–plastic analysis, stress linearization, and ratcheting checks were especially relevant. These are things that come up on real jobs, like separator vessels and heat exchangers tied to energy utilities, but aren’t always handled consistently across teams. Seeing how Part 5 is applied step by step made it clearer how to justify designs beyond basic allowable stress checks. One challenge was keeping up with the assumptions around boundary conditions and mesh sensitivity. Translating the code language into a solver setup took some effort, and a couple of examples had to be re-watched to fully click. A practical takeaway was a clearer workflow for Part 5 assessments, including what results to extract and how to document them for review. This is already influencing how current pressure vessel checks are being approached. I can see this being useful in long-term project work.

Coming into this course, I had some prior exposure to the subject, mainly running basic linear FEA for pressure vessels in oil & gas projects. This training pushed things further, especially around applying ASME Section VIII Division 2 Part 5 in a disciplined way. The walkthrough of stress linearization, plastic collapse checks, and ratcheting assessment was directly relevant to vessels used in refinery and gas processing units, where code compliance is always under scrutiny. One real challenge was wrapping my head around setting correct boundary conditions and load combinations for elastic‑plastic analysis. In past work, that’s where models quietly went wrong. The course didn’t sugarcoat that and showed how small assumptions can drive non‑conservative results, which was useful. Meshing strategies for nozzles and local discontinuities also filled a gap, particularly for pressure vessels tied into energy utility systems like boilers and heat recovery units. A practical takeaway was a clearer workflow for documenting Part 5 checks so they actually stand up during design review. That alone will save time on the next project. The content felt aligned with practical engineering demands.

Initially, I wasn’t sure what to expect from this course. Having worked pressure vessel design in oil & gas and some crossover projects in energy utilities, the promise of tying FEA directly to ASME Section VIII Div 2 Part 5 caught my attention, but also raised skepticism. The strongest part was the breakdown of stress classification and how it actually maps (or doesn’t) to real FEA results. In day‑to‑day industry practice, linearization and stress categorization are often treated mechanically, and this course highlighted edge cases where that approach can mislead, especially around local discontinuities and nozzle junctions. One challenge was keeping up with the elastic‑plastic analysis requirements; the examples assumed a level of solver familiarity that could trip up engineers used to elastic-only checks. A practical takeaway was a clearer workflow for documenting Part 5 assessments in a way that aligns with Authorized Inspector expectations, rather than just “passing” the model. The discussion on load combinations and cyclic service felt particularly relevant for gas processing and power plant pressure components. Overall, the content felt aligned with practical engineering demands.

At first glance, the topics looked familiar, but the depth surprised me. The course went well beyond basic FEA theory and forced a closer look at how ASME Section VIII Division 2 Part 5 is actually applied on real pressure vessel jobs. Stress linearization, protection against plastic collapse, and buckling checks were covered in a way that tied directly to vessels used in oil & gas processing, like separators and heat exchangers, as well as steam drums in energy utilities. One challenge was wrapping my head around the acceptance criteria in Part 5 and how sensitive results can be to mesh density and load combinations. It took some effort to reconcile what the solver spits out versus what the code actually wants you to evaluate, especially for fatigue screening and local stress checks at nozzles and welds. A practical takeaway was learning how to properly define stress classification lines and load cases so the results stand up to code review. That filled a gap from past projects where FEA was done, but not fully code-aligned. The material feels immediately usable, and I can see this being useful in long-term project work.

At first glance, the topics looked familiar, but the depth surprised me. Having worked mostly on oil & gas piping systems around compressors and PSV discharge lines, AIV and FIV were usually treated as checklist items rather than something grounded in real vibration theory. The sections on random vibration, PSD interpretation, and how Fourier Transform actually ties time data to frequency content helped close that gap. One area that stood out was the walk-through of the Energy Institute guideline and the reasoning behind the screening criteria. In past projects, EI limits were applied almost blindly on brownfield modifications. Understanding the fluid dynamics drivers behind acoustic resonance and turbulence-induced excitation made those limits make more sense, especially for high-pressure gas lines. The link to chemical and pharmaceutical facilities, like vapor transfer lines and high-velocity utility headers, felt realistic rather than academic. A challenge was keeping up with the statistical side of random vibrations, especially probability distributions and frequency-domain assumptions. That part took a bit of re-reading. A practical takeaway was knowing when a simple EI screening is enough versus when a detailed FIV analysis or support redesign is justified. The content felt aligned with practical engineering demands.

This course turned out to be more technical than I anticipated. The deep dive into PSD-based methods and Fourier Transform went beyond the surface explanations I usually see, and that was useful. Coming from oil & gas projects, especially high-pressure piping in gas compression and LNG facilities, the sections on Acoustic Induced Vibration and Flow Induced Vibration tied directly to issues seen in real layouts and piping modifications. The walkthrough of the Energy Institute guideline was particularly relevant. It helped connect the theory of random vibration to how AIV screening is actually done during design reviews. Some of the fluid mechanics discussion also mapped well to chemical/pharmaceutical utilities, like clean steam and high-velocity vapor lines, where vibration risks are often underestimated. One challenge was keeping up with the statistical treatment of random vibration, especially interpreting PSD plots and understanding what assumptions are acceptable in practice versus academic cases. That part took some rework after the sessions. A practical takeaway was a clearer step-by-step approach to identifying AIV/FIV risk early and knowing when EI guidelines are sufficient versus when more detailed analysis is needed. This filled a gap between textbook vibration theory and day-to-day engineering decisions. It definitely strengthened my technical clarity.

Coming into this course, I had some prior exposure to the subject, mostly from oil & gas piping projects where vibration was flagged late and handled reactively. This course helped put structure around AIV and FIV, especially tying fluid mechanics to random vibration theory instead of treating it as a black box. The sections on PSD-based methods and the practical meaning of Fourier Transform were useful when reviewing vendor vibration data from compressors and high-pressure gas lines. One challenge was bridging the gap between the math and real project decisions. Translating a PSD plot into stress checks and knowing when the Energy Institute guideline is overly conservative took some effort, but the walkthrough of the EI screening logic helped. The discussion on flow-induced vibration in multiphase lines felt very relevant to upstream oil & gas, while the acoustic vibration examples in relief systems also map well to high-velocity utility headers seen in chemical and pharmaceutical facilities. A practical takeaway was a clearer approach on when a simple screening is enough versus when a detailed analysis or test data is justified. That alone will save time on future design reviews. I can see this being useful in long-term project work.

Initially, I wasn’t sure what to expect from this course. Coming from oil & gas piping projects, AIV and FIV were topics that usually got pushed to “specialist checks,” and that gap was starting to show on recent brownfield work. The sections on PSD-based analysis and how Fourier Transform actually fits into random vibration theory were useful, especially when tied back to real piping examples. The walkthrough of Energy Institute guidelines made more sense than the way they’re usually referenced in design notes. Acoustic vibration around relief valves and high-pressure gas lines was a clear oil & gas use case, but the discussion also translated well to chemical and pharmaceutical utilities where high-velocity vapor lines can be just as problematic. One challenge was keeping up with the statistics-heavy parts early on; the probability distributions and frequency domain concepts took some re-reading to connect with day-to-day engineering decisions. That said, a practical takeaway was learning how to screen lines for AIV risk early and when EI guidance is sufficient versus when deeper analysis is needed. This knowledge is already being applied on a compressor discharge review. The content felt aligned with practical engineering demands.

Initially, I wasn’t sure what to expect from this course. The random vibration refresher was useful, especially the way PSD and Fourier Transform concepts were tied back to real piping problems instead of staying abstract. Coverage of AIV around relief valves and high-pressure gas lines in oil & gas felt consistent with what we see on brownfield projects, and the parallels drawn to thin-wall reactor piping and utility headers in chemical/pharmaceutical plants helped broaden the context. One challenge was translating the frequency-domain PSD results into something actionable for stress checks, particularly when plant data is sparse or noisy. That gap mirrors industry reality, where measurements are rarely ideal and edge cases like two‑phase flow or near-choked conditions can break simplified assumptions. The discussion on where the Energy Institute guideline works—and where it becomes overly conservative—was more honest than most internal standards I’ve dealt with. A practical takeaway was the emphasis on early screening: focusing AIV reviews on valve trims, small-bore connections, and supports before jumping into detailed FEA. System-level implications, like how acoustic fatigue can drive maintenance strategy and inspection intervals, were clearly laid out. The content felt aligned with practical engineering demands.

Coming into this course, I had some prior exposure to the subject from oil & gas piping projects, but the random vibration side was always a weak spot. The coverage of PSD-based analysis and the practical explanation of Fourier Transform helped connect theory to what actually shows up around relief valves and high-pressure gas lines. Acoustic-induced vibration in blowdown systems and flow-induced vibration around control valves were discussed in a way that felt close to real plant issues, not textbook examples. One challenge during the course was getting comfortable with interpreting the Energy Institute screening criteria and knowing where its assumptions start to break down. That was especially relevant when thinking about mixed services seen in chemical and pharmaceutical facilities, where layouts and operating envelopes don’t always match the guideline examples. A practical takeaway was a clearer workflow for early AIV/FIV screening—what data to collect, when PSD methods are justified, and when to escalate to detailed analysis. This filled a gap between basic vibration theory and day-to-day design decisions on piping and supports. The content felt aligned with practical engineering demands.

At first glance, the topics looked familiar, but the depth surprised me. Random vibration is often hand‑waved in oil & gas projects, and the course forced a more disciplined look at PSD-based methods and where they actually apply. The walkthrough of Fourier Transform in the context of AIV/FIV was useful, especially when tied back to real piping systems rather than abstract signals. Coverage of the Energy Institute guideline lined up with what’s commonly used in upstream and midstream oilgas facilities, but it also highlighted gaps compared with how EPCs sometimes shortcut screening during tight schedules. One challenge was translating the theory into practical decisions when inputs are messy—flow regimes changing, limited acoustic data, or edge cases like two-phase flow and control valve chatter. Those are situations where pharma and chemical processing utilities also struggle, even if the consequences look different. A practical takeaway was a clearer framework for deciding when EI guidelines are sufficient and when more detailed analysis or testing is justified. The system-level implication—how small excitation sources propagate through supports and layouts—was well emphasized. I can see this being useful in long-term project work.

At first glance, the topics looked familiar, but the depth surprised me. The treatment of random vibration using PSDs and Fourier transforms went beyond the simplified checks typically used on oil & gas piping projects. The discussion around Acoustic Induced Vibration near relief valves and high-pressure gas lines mirrored issues seen on LNG and gas compression facilities, while the Flow Induced Vibration examples tied well to liquid systems more common in chemical and pharmaceutical plants with dense piping racks. One challenge was reconciling the Energy Institute guideline with real-world constraints. In practice, input data like acoustic power or damping ratios are often incomplete, and the course highlighted how sensitive the results can be to those assumptions. Edge cases, such as low-flow FIV that still causes fatigue due to poor support design, were useful to see, since they’re often missed in standard screening. A practical takeaway was a clearer sense of when EI screening is sufficient and when more detailed analysis or testing is justified. The comparison with current industry practices helped put the methods in context at a system level, especially around risk-based decision making. The content felt aligned with practical engineering demands.

This course turned out to be more technical than I anticipated. The treatment of random vibration using PSD and Fourier Transform went beyond the usual “check-the-guideline” approach seen in oil & gas projects. The sections on Acoustic Induced Vibration around PSV discharge lines and Flow Induced Vibration in small-bore connections felt grounded in real piping failure modes, not academic examples. References to the Energy Institute guideline were useful, especially when contrasted with how EPCs often apply it conservatively without understanding the assumptions. One challenge was bridging theory to practice when excitation data is sparse. Translating a PSD into meaningful stress ranges for fatigue checks is still nontrivial, particularly for multiphase or transient flow edge cases that fall outside EI’s original scope. The discussion on where EI breaks down, and how current research tries to address high-frequency acoustic loading, was a strong point. From a chemical/pharmaceutical perspective, the comparison to vibration sensitivity in clean utility piping and reactor feed lines was helpful, as those systems often lack the robustness of oil & gas layouts. A practical takeaway was the emphasis on early screening and layout decisions—support spacing and valve selection matter more than post-design mitigation. The content felt aligned with practical engineering demands.

Initially, I wasn’t sure what to expect from this course. The random vibration refresher was useful, especially the way PSD and Fourier Transform concepts were tied back to real piping problems instead of staying abstract. Coverage of AIV around relief valves and high-pressure gas lines in oil & gas felt consistent with what we see on brownfield projects, and the parallels drawn to thin-wall reactor piping and utility headers in chemical/pharmaceutical plants helped broaden the context. One challenge was translating the frequency-domain PSD results into something actionable for stress checks, particularly when plant data is sparse or noisy. That gap mirrors industry reality, where measurements are rarely ideal and edge cases like two‑phase flow or near-choked conditions can break simplified assumptions. The discussion on where the Energy Institute guideline works—and where it becomes overly conservative—was more honest than most internal standards I’ve dealt with. A practical takeaway was the emphasis on early screening: focusing AIV reviews on valve trims, small-bore connections, and supports before jumping into detailed FEA. System-level implications, like how acoustic fatigue can drive maintenance strategy and inspection intervals, were clearly laid out. The content felt aligned with practical engineering demands.

Initially, I wasn’t sure what to expect from this course, especially since AIV/FIV often gets treated as a checkbox exercise in oil & gas projects. The material went deeper than typical vendor presentations and forced a more rigorous look at random vibration theory, PSD construction, and where Fourier-based methods actually hold up. The discussion around acoustic resonance near pressure safety valves and high-velocity gas lines was particularly relevant to upstream oil & gas piping, while the comparison to liquid-phase FIV in chemical and pharmaceutical process piping highlighted why applying the same screening logic everywhere can be risky. One challenge was mentally bridging the gap between clean textbook PSD examples and the noisy, incomplete field data usually available during late project stages. Edge cases like short branch connections and complex boundary conditions were handled realistically, not brushed aside. The review of the Energy Institute guideline was useful, but more importantly, its limitations were clearly spelled out and compared with current industry practice and research. A practical takeaway was a clearer workflow for deciding when EI screening is sufficient versus when detailed analysis or testing is justified, considering system-level consequences like fatigue propagation across connected piping. It definitely strengthened my technical clarity.

This course turned out to be more technical than I anticipated. The treatment of random vibration using PSDs and Fourier transforms went deeper than the usual screening-level discussions seen in oil & gas piping reviews. The link between fluid mechanics and acoustic resonance was laid out clearly, especially around AIV driven by high Mach number gas service and valve-generated turbulence. What stood out was the comparison between the Energy Institute guideline and how FIV is often handled in chemical and pharmaceutical facilities, where conservative supports are added without quantifying excitation. The course made it clear where EI works well and where edge cases exist, like small-bore connections, complex manifolds, or mixed-phase lines that fall outside the guideline’s assumptions. That gap is rarely acknowledged in day-to-day design. One challenge was following the statistical treatment of random vibrations and translating PSD results into something actionable for stress or fatigue checks. It took some effort to reconcile that with typical static load cases used in industry tools. A practical takeaway was a more disciplined way to screen AIV/FIV risk early, before layout freeze, and to justify when detailed analysis is actually needed. At a system level, this helps avoid over-design while still managing fatigue risk. I can see this being useful in long-term project work.

Coming into this course, I had some prior exposure to the subject from oil & gas piping design reviews and a bit from chemical/pharmaceutical utilities work. The treatment of random vibration using PSD and Fourier Transform was more rigorous than what’s typically seen in day‑to‑day industry calculations, where things often stop at a quick EI guideline check. The sections on AIV around control valves and high-pressure drop lines were particularly relevant to upstream oilgas facilities, while the FIV discussion tied back to clean steam and process piping seen in pharmaceutical plants. One challenge was reconciling the theory with sparse field data; translating a PSD-based approach into something actionable when vibration measurements or acoustic power estimates are incomplete is not trivial. Edge cases like intermittent flow or two-phase conditions were touched on, and those are exactly where standard screening methods tend to fall short. A practical takeaway was understanding where the Energy Institute guideline is conservative and where it can miss system-level interactions, especially support spacing and restraint stiffness. Compared to common industry practice, this course pushed harder on why failures occur, not just how to flag them. I can see this being useful in long-term project work.

At first glance, the topics looked familiar, but the depth surprised me. Having worked mostly on oil & gas piping systems around compressors and PSV discharge lines, AIV and FIV were usually treated as checklist items rather than something grounded in real vibration theory. The sections on random vibration, PSD interpretation, and how Fourier Transform actually ties time data to frequency content helped close that gap. One area that stood out was the walk-through of the Energy Institute guideline and the reasoning behind the screening criteria. In past projects, EI limits were applied almost blindly on brownfield modifications. Understanding the fluid dynamics drivers behind acoustic resonance and turbulence-induced excitation made those limits make more sense, especially for high-pressure gas lines. The link to chemical and pharmaceutical facilities, like vapor transfer lines and high-velocity utility headers, felt realistic rather than academic. A challenge was keeping up with the statistical side of random vibrations, especially probability distributions and frequency-domain assumptions. That part took a bit of re-reading. A practical takeaway was knowing when a simple EI screening is enough versus when a detailed FIV analysis or support redesign is justified. The content felt aligned with practical engineering demands.

Initially, I wasn’t sure what to expect from this course. Having dealt with vibration issues in oil & gas piping around relief valves and compressor discharge lines, the AIV/FIV framing immediately felt relevant. The treatment of random vibration and PSD-based methods, especially how Fourier Transform underpins frequency-domain analysis, was closer to how problems actually show up in the field than many textbook approaches. One challenge was reconciling the Energy Institute guideline with brownfield reality. The course did a decent job highlighting edge cases, like small-bore connections and high-pressure gas lines where EI screening can be overly conservative or, in some cases, miss system-level coupling effects. That nuance matters when comparing with common industry practices, where rules of thumb still dominate decisions. Examples tied to chemical and pharmaceutical facilities were also useful, particularly for high-purity process piping where flow-induced vibration can drive fatigue without obvious acoustic signatures. A practical takeaway was a clearer workflow for early AIV/FIV screening—using PSD inputs to prioritize which lines actually warrant detailed analysis instead of blanket reinforcement. Overall, it felt grounded in real engineering practice.

Initially, I wasn’t sure what to expect from this course. The random vibration refresher was useful, especially the way PSD and Fourier Transform concepts were tied back to real piping problems instead of staying abstract. Coverage of AIV around relief valves and high-pressure gas lines in oil & gas felt consistent with what we see on brownfield projects, and the parallels drawn to thin-wall reactor piping and utility headers in chemical/pharmaceutical plants helped broaden the context. One challenge was translating the frequency-domain PSD results into something actionable for stress checks, particularly when plant data is sparse or noisy. That gap mirrors industry reality, where measurements are rarely ideal and edge cases like two‑phase flow or near-choked conditions can break simplified assumptions. The discussion on where the Energy Institute guideline works—and where it becomes overly conservative—was more honest than most internal standards I’ve dealt with. A practical takeaway was the emphasis on early screening: focusing AIV reviews on valve trims, small-bore connections, and supports before jumping into detailed FEA. System-level implications, like how acoustic fatigue can drive maintenance strategy and inspection intervals, were clearly laid out. The content felt aligned with practical engineering demands.

Coming into this course, I had some prior exposure to the subject from oil & gas piping design reviews and a bit from chemical/pharmaceutical utilities work. The treatment of random vibration using PSD and Fourier Transform was more rigorous than what’s typically seen in day‑to‑day industry calculations, where things often stop at a quick EI guideline check. The sections on AIV around control valves and high-pressure drop lines were particularly relevant to upstream oilgas facilities, while the FIV discussion tied back to clean steam and process piping seen in pharmaceutical plants. One challenge was reconciling the theory with sparse field data; translating a PSD-based approach into something actionable when vibration measurements or acoustic power estimates are incomplete is not trivial. Edge cases like intermittent flow or two-phase conditions were touched on, and those are exactly where standard screening methods tend to fall short. A practical takeaway was understanding where the Energy Institute guideline is conservative and where it can miss system-level interactions, especially support spacing and restraint stiffness. Compared to common industry practice, this course pushed harder on why failures occur, not just how to flag them. I can see this being useful in long-term project work.

At first glance, the topics looked familiar, but the depth surprised me. The treatment of random vibration using PSDs and Fourier transforms went beyond the simplified checks typically used on oil & gas piping projects. The discussion around Acoustic Induced Vibration near relief valves and high-pressure gas lines mirrored issues seen on LNG and gas compression facilities, while the Flow Induced Vibration examples tied well to liquid systems more common in chemical and pharmaceutical plants with dense piping racks. One challenge was reconciling the Energy Institute guideline with real-world constraints. In practice, input data like acoustic power or damping ratios are often incomplete, and the course highlighted how sensitive the results can be to those assumptions. Edge cases, such as low-flow FIV that still causes fatigue due to poor support design, were useful to see, since they’re often missed in standard screening. A practical takeaway was a clearer sense of when EI screening is sufficient and when more detailed analysis or testing is justified. The comparison with current industry practices helped put the methods in context at a system level, especially around risk-based decision making. The content felt aligned with practical engineering demands.

This course turned out to be more technical than I anticipated. The treatment of random vibration using PSD and the practical use of Fourier Transform went deeper than what’s typically covered in internal oil & gas training. The sections on AIV in high-pressure gas piping and FIV around control valves lined up well with problems seen on compressor discharge lines and relief valve tailpipes. There was also enough crossover to chemical/pharmaceutical facilities, especially when discussing clean steam systems where vibration limits are tighter due to fatigue and contamination risks. One challenge was translating the PSD-based response into something actionable for design reviews. In practice, measured data is noisy and boundary conditions are rarely as clean as assumed, which the course acknowledged but didn’t fully resolve. The comparison with Energy Institute guidelines versus how EPCs actually screen lines was useful, particularly the edge cases like short branch connections and high Mach number flows where EI can be non-conservative. A practical takeaway was a clearer workflow for early-stage AIV/FIV screening and when to escalate to detailed analysis or testing. The system-level implications on supports, fatigue life, and maintenance planning were well framed. It definitely strengthened my technical clarity.

This course turned out to be more technical than I anticipated, especially once it got into PSD-based methods and the nuts and bolts behind the Energy Institute AIV guideline. Coming from oil & gas piping projects, AIV and FIV usually get treated as a checklist item around relief valves and flare headers, but the random vibration theory helped explain *why* those screens work and where they fall short. The section on Fourier Transform and frequency-domain thinking filled a real knowledge gap that wasn’t covered back in school. One challenge was following the jump from theory to implementation, particularly how uncertain flow data and acoustic sources affect PSD inputs. That mirrors real life on brownfield oil & gas and chemical/pharmaceutical facilities, where operating envelopes are fuzzy and documentation is incomplete. Still, the walkthrough of EI screening logic and its limitations was practical, not academic. A solid takeaway was learning how to better judge when EI guidance is sufficient versus when detailed FIV analysis is justified, especially for high-pressure gas systems and clean utility lines in pharma plants. That’s already influencing how vibration risk is flagged during design reviews. I can see this being useful in long-term project work.