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Актуализиране и калибриране на модел по метода на крайните елементи×Метод на надеждност от втори ред (SORM)×
ОбластИнженерство на надеждносттаИнженерство на надеждността
СемействоProcess / pipelineProcess / pipeline
Година на възникване20011979
СъздателJohn Mottershead and Michael FriswellBernd Fiessler
ТипSystem identification methodologyReliability analysis method
Основополагащ източникMottershead, J. E., Link, M., & Friswell, M. I. (2011). The sensitivity method in finite element model updating: A tutorial. Mechanical Systems and Signal Processing, 25(7), 2275-2296. DOI ↗Fiessler, B., Neumann, H. J., & Rackwitz, R. (1979). Quadratic limit states in structural reliability. Journal of the Engineering Mechanics Division, 105(4), 661-676. DOI ↗
Други названияModel updating, Model calibration, FEM updatingSORM, Second-order approximation
Свързани44
РезюмеFinite Element Model (FEM) Updating is the process of refining a numerical structural model to match measured behavior (modal properties, vibrations, static displacements) from the physical structure. By comparing computational predictions to experimental data and systematically adjusting uncertain model parameters (material properties, boundary conditions, joint stiffness), engineers create more accurate models for design decisions, damage detection, and life prediction. Formalized by Mottershead and Friswell, FEM updating bridges the gap between idealized computer models and real-world structures.The Second-Order Reliability Method (SORM) is an extension of FORM that improves failure probability estimates by accounting for the curvature of the limit-state surface at the design point. Introduced by Fiessler, Neumann, and Rackwitz in 1979, SORM provides more accurate approximations for nonlinear failure surfaces while remaining computationally efficient. It has become the standard refinement when FORM accuracy is insufficient.
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  2. 4 Източници
  3. PUBLISHED
  1. v1
  2. 4 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Finite Element Model Updating · Second-Order Reliability Method. Извлечено на 2026-06-17 от https://scholargate.app/bg/compare