Computational Solutions for Non-linear Analysis and Risk Assessment of Structures

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 2096

Special Issue Editor


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Guest Editor
Department of Structures for Engineering and Architecture, University of Naples Federico II, Naples, Italy
Interests: structural dynamics; risk assessment of existing structures

Special Issue Information

During the last two decades, the increasing capabilities of common use hardware fostered a strong evolution in computational techniques in non-linear structural analysis and risk assessment. In this respect, some traditional strategies, such as the well-known finite element method, have been significantly improved to address complex problems.

Nevertheless, although finite elements are the most popular strategy in computational mechanics, the increasing hurdle of frontline research has highlighted some intrinsic limitations of this strategy. For this reason, several alternative approaches are currently under investigation.

This is the case with Galerkin meshfree methods, belonging to the weak form category, as well as strategies such as the virtual element method, X-FEMs, multi-scale approaches, and several more phylosophies.

An important aspect of the most recent research advancements concerns the completely new philosophy about the structure of the hardware resourced. While the classical “single-cored” approach made researchers focus on developing computational algorithms to improve the convergence trend of the analyses, the recent parallel-computing strategy and the even more powerful cloud-computing have modified the research direction.

On the one hand, the increased computational capacity permits the use of very demanding strategies that were ignored in the past because of their burden; on the other hand, structural analysis algorithms must adapt to the new parallel-computing philosophy. In this sense, research on the computational analysis of structures is very dynamic and lively.

The Special Issue will collect original contributions from frontline research concerning the development of computational strategies and algorithms for the non-linear analysis of structures, for their probabilistic assessment and risk analysis.

I encourage you to send manuscripts containing scientific findings within the broad field of structural engineering, which include but are not limited to the following: structural non-linear analysis; wind engineering; building assessment; earthquake engineering; impact engineering; reliability evaluation; structural monitoring and control. Both theoretical and practice-oriented papers, including case studies and reviews, are welcome.

Dr. Salvatore Sessa
Guest Editor

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Keywords

  • Non-linear analysis
  • finite element method
  • limit analysis
  • virtual element method
  • X-fem

Published Papers (1 paper)

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Research

27 pages, 3917 KiB  
Article
Stiffness Modification-Based Bayesian Finite Element Model Updating to Solve Coupling Effect of Structural Parameters: Formulations
by Jice Zeng and Young Hoon Kim
Appl. Sci. 2021, 11(22), 10615; https://0-doi-org.brum.beds.ac.uk/10.3390/app112210615 - 11 Nov 2021
Cited by 3 | Viewed by 1601
Abstract
The Bayesian model updating approach (BMUA) benefits from identifying the most probable values of structural parameters and providing uncertainty quantification. However, the traditional BMUA is often used to update stiffness only with the assumption of well-known mass, which allows unidentifiable cases induced by [...] Read more.
The Bayesian model updating approach (BMUA) benefits from identifying the most probable values of structural parameters and providing uncertainty quantification. However, the traditional BMUA is often used to update stiffness only with the assumption of well-known mass, which allows unidentifiable cases induced by the coupling effect of mass and stiffness to be circumvented and may not be optimal for structures experiencing damages in both mass and stiffness. In this paper, the new BMUA tailored to estimating both mass and stiffness is presented by using two measurement states (original and modified systems). A new eigenequation with a stiffness-modified system is formulated to address the coupling effect of mass and stiffness. The posterior function is treated using an asymptotic approximation method, giving the new objective functions with stiffness modification. Analytical formulations of modal parameters and structural parameters are then derived by a linear optimization method. In addition, the covariance matrix of uncertain parameters is determined by the inverse of the Hessian matrix of the objective function. The performance of the proposed BMUA is evaluated through two numerical examples in this study; a probabilistic damage estimation is also implemented. The results show the proposed BMUA is superior to the traditional one in mass and stiffness updating. Full article
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