20th International Probabilistic Workshop : IPW 2024 / edited by José C. Matos, Paulo B. Lourenço, Daniel V. Oliveira, Jorge Branco, Dirk Proske, Rui A. Silva, Hélder S. Sousa.

Format:

Book

Contributor:

Matos, José C., editor.

Series:

Lecture Notes in Civil Engineering, 2366-2565 ; 494

Language:

English

Subjects (All):

Civil engineering.

Probabilities.

Stochastic processes.

Production management.

Financial risk management.

Civil Engineering.

Probability Theory.

Stochastic Processes.

Operations Management.

Risk Management.

Local Subjects:

Civil Engineering.

Probability Theory.

Stochastic Processes.

Operations Management.

Risk Management.

Physical Description:

1 online resource (536 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

This volume presents the proceedings of the 20th International Probabilistic Workshop (IPW), which was held in Guimarães, Portugal on May 8-10, 2024. Probabilistic methods are currently of crucial importance for research and developments in the field of engineering, which face challenges presented by new materials and technologies and rapidly changing societal needs and values. Contemporary needs related to, for example, performance-based design, service-life design, life-cycle analysis, product optimization, assessment of existing structures and structural robustness give rise to new developments as well as accurate and practically applicable probabilistic and statistical engineering methods to support these developments. These proceedings are a valuable resource for anyone interested in contemporary developments in the field of probabilistic engineering applications.

Contents:

Intro

Preface

Organization

Contents

Keynotes

Life-Cycle Probabilistic Multi-objective Optimum SHM Planning

1 Introduction

2 Framework for Life-Cycle Probabilistic Multi-objective Optimum SHM Planning

3 Objectives for Probabilistic Optimum SHM Planning

4 Multi-objective Optimization and Decision Making

5 Updating with Monitored Data

6 Conclusions

References

Toward a More Resilient Road Infrastructure

2 The Benefit of Transportation Infrastructure

3 Measuring Resilience

3.1 Functionality

3.2 Safety and Environmental Impact During Recovery

3.3 Consequences of Disruptive Event

3.4 Maintenance and Improvement Interventions

3.5 Costs

3.6 Uncertainty

4 Measures to Improve Resilience

4.1 Measures to Improve Robustness

4.2 Measures to Improve Redundancy

4.3 Measure to Improve Rapidity of Recovery

4.4 Resourcefulness

5 Case Study

6 Conclusion

Resilience, Robustness and Redundancy of Infrastructure System

Aerodynamic Shape Optimization of Long-Span Bridges

1.1 Flutter Instability Theory

2 Fundamental Studies

2.1 Stability Analysis of the Prediction Method

3 Reliability-Based Design Optimization

4 Summary

4.1 Discussion

Reference

Computational Investigations on the In-Plane Capacity of a URM Wall: Effect of Material Uncertainty

2 Discontinuous Presentation and Analysis of URM Walls

3 Validation of the Proposed Computational Modelling Strategy

4 Data Preparation for Nonspatial and Spatial Probabilistic Analysis

5 Results of the Probabilistic Analysis

5.1 Nonspatial Probabilistic Analysis

5.2 Spatial Probabilistic Analysis

Framework for Resilience Assessment as Decision Support for Traffic Infrastructure Operators.

1 Introduction

2 Description of the Framework

2.1 Hazards

2.2 Influence Characteristics

2.3 Hazard Potential

2.4 Definition of Resilience Indicators

3 Visualisation

4 Conclusion

Influence of Stud Shear Connectors Fatigue on the Entire Reliability of Composite Bridge Superstructure

2 Model Analysis

2.1 Structural Model

2.2 The Dependence of the Joint Elements Stiffness on the Number of Loading Cycles

2.3 Equivalent Load Determination Method

2.4 Algorithm of Analysis and Clustering of the Loading Process

2.5 Parameters of the Probabilistic Calculation

3 Results and Discussion

Surrogate Model Approaches for the Evaluation of Structural Safety of Suspended Ceilings

1.1 General

1.2 Suspended Ceilings

1.3 Direct Fastening

1.4 Redundant Fastening

1.5 Stratified Sampling Methods

1.6 Surrogate Model

2 Materials and Methods

2.1 Experimental Setup

2.2 Numerical Modeling

2.3 Simplified Model

4 Conclusions

Understanding Corrosion in Restored Concrete Zones Through Sensor Data Analysis

2 Methodology

2.1 Electric Resistance as an Indicator of Durability

2.2 Stochastic Degradation Model

3 Application Description

4 Results and Discussion

5 Conclusions

Risk Assessment and Management

Application of Structure-From-Motion Multi-view Stereo (SfM-MVS) Photogrammetry in First Response Inspection of Distressed Buildings

1.1 The Strong Motion Events of 2020

1.2 Motivation

2 SfM-MVS in Use

2.1 Education Based on the SfM-MVS Collected Examples

2.2 Assessments Supported by SfM-MVS

3 Experience in Post-Disaster Educational Materials Collection.

3.1 General Overview of the On-Site Situation

3.2 More Detailed Insight to the On-Site Situation

3.3 More Detailed Insight to the On-Site Situation

Comparison of Earthquake Design Regulations for Buildings in Iran and Germany

2 Code Comparison

2.1 General

2.2 Seismic Zones Characterising the Impact

2.3 Ground Types Characterising the Transmission of Seismic Waves

2.4 Importance Factor Characterising the Social Significance

2.5 Standard Design Response Spectrum Characterising the Building's Response

3 Conclusion

Deriving Analytical Fragility Curves for Masonry Churches Based on Stochastic Nonlinear Analyses

1.1 The Developed Methodology

1.2 Material Sampling Method

2 Application to the Case Study

2.1 Building Archetype Description

2.2 Archetype Finite Element (FE) Model

2.3 Mechanical Parameters' Ranges

3 Nonlinear Static Analysis

3.1 Derivation of the Fragility Curve

Discussion of Consequence Parameters for Risk Assessment of Bridges and Retaining Structures

2 State of the Art

2.1 Introduction

2.2 Codes for Risk Analysis

2.3 Comparison of Different Risk Parameters

2.4 Comparison of Risk Parameters in Other Fields

2.5 Comparison of the Robustness of Risk Results

2.6 Conclusion

3 Discussion of the Consequence Parameters

3.1 Introduction

3.2 Number of Consequence Parameter

3.3 Most Common Consequence Parameter

3.4 Appropriateness of Consequence Parameter

4 Discussion

Evaluation of Fault Tree Analysis Algorithms for Probabilistic Risk Assessment: A Systematic Comparative Study

2 Theoretical Background

2.1 Scram

2.2 MOCUS Algorithm

2.3 BDD Algorithm

2.4 ZBDD Algorithm.

2.5 CTT Algorithm

3 Analysis Methodology

4.1 Efficiency

4.2 Accuracy

Exoskeletons Development: Military Load Effort Analysis in an Operational Environment

2 Methods

3 Results and Analysis

3.1 Effort Characterisation

3.2 Military Load

3.3 Military Workload

Flood Vulnerability of Transport Infrastructure: Classification of Construction Types, Structural Condition and Adaptation Measures to Reduce Vulnerability

2 Method for Characterizing Vulnerability

2.1 Damage Patterns and Mechanisms

2.2 Classification of Construction Types

2.3 Inclusion of the Structural Condition

2.4 Assessment of Vulnerability

3 Map Visualization

4 Conclusions Regarding Adaptation to Reduce Vulnerability

Impact of Extreme Events on the Financial Performance of Infrastructure Projects

2 Infrastructure Finance: A Brief Review

2.1 Sources of Funding, Financing Methods and Carbon Pricing

2.2 Traditional Financing Assessment Incorporating RDM

3 Comprehensive Dynamic Stochastic Model

3.1 Emissions

3.2 Extreme Events Modeling

3.3 Indirect Costs

4 Illustrative Case

4.1 Case Description

4.2 Financial Performance

5 Conclusion

Influence of Uncertainties on the Compound Rocking Failure Mechanism of Single-Nave Masonry Churches

2 Macroblock Limit Analysis

3 Treatment of Uncertainty Due to Incomplete Knowledge

4 Regression Model for Simplified Assessment

K-Means Clustering Approach for Stock Risk Assessment and Portfolio Construction: A Case Study Based on the EU-EV Risk Model

2.1 Stock Clustering with EU-EV Risk Attributes.

2.2 Performance Evaluation

3 Application to the PSI Index

Modelling of Traffic Loads in a Full-Probabilistic Reassessment of Rural Bridges Based on Measurement Data - A Case Study

2 Load Models for Bridges According to National and European Code Regulations

3 Probabilistic Approach for Modelling of Traffic Loads

4 Case Study - Heinrich's Bridge in Bamberg

4.1 Description of the Construction

4.2 Measurement Concept

4.3 Data Analysis

4.4 Results and Application

5 Summary and Conclusion

Non-destructively Measurable Quantities Relevant to Reliability Assessment of Existing Concrete Bridges - Case Studies

2 Case Study I - Single-Span Motorway Bridge

3 Case Study II - Three-Span Highway Bridge

Optimization of Combustion Parameters in Heating Systems to Increase Efficiency and Environmental Protection

2 Research Hypotheses

3 Research Methodology and Description

3.1 Research Methodology

3.2 Modelling Using Artificial Neural Networks

4 Results

5 Measures to Improve the Efficiency of the Heating System

Climate Change and Loading Uncertainties

A Stochastic Framework of Risk Assessment of Flooding on Stability and Serviceability of Bridges Under a Changing Climate

2.1 Flood Frequency Analysis

2.2 Local Scour

2.3 Risk Assessment

3 Application

3.1 Case Study Description

3.2 River Flow Projections

4 Results and Discussions

4.1 River Flow Projections

4.2 Flood Frequency Analysis

4.3 Scour Estimates

4.4 Risk Assessment

Some Limitations of Statistical and Probabilistic Models and Current Developments

2 State of the Art.

2.1 Introduction.

Notes:

Includes index.

Other Format:

Print version: Matos, José C. 20th International Probabilistic Workshop

ISBN:

9783031602719