Article1988

Importance Sampling in Structural System Reliability

21 citations0/0 files storedProbabilistic Methods in Civil Engineering

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Probabilistic and Robust Engineering Design Reliability and Maintenance Optimization Geotechnical Engineering and Analysis

Abstract

In structural system reliability analysis, it is frequently necessary to resort to Monte Carlo simulation (MCS). This paper focuses on Importance Sampling, an advanced MCS method, which greatly improves the efficiency and accuracy. The development in this area is reviewed, the importance of proper determination of sampling distribution is then emphasized and a new sampling distribution (WGNSD) is introduced. This method is general and various applications presented verify its success.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 21 citations exist upstream.

Cited by

2012An adaptive dimension decomposition and reselection method for reliability analysis 1993Multimodal Simulation Method for System Reliability Analysis 2003System reliability evaluation of nonlinear continuum structures—a probabilistic FEM approach

Imported from OpenAlex (CC0) — nothing here is generated.