Achintya Haldar

Sankaran Mahadevan

Learn the tools to assess product reliability! Haldar and Mahadevan crystallize the research and experience of the last few decades into the most up-to-date book on risk-based design concepts in engineering available. The fundamentals of reliability and statistics necessary for risk-based engineering analysis and design are clearly presented. And with the help of many practical examples integrated throughout the text, the material is made very relevant to today's practice. Key Features * Covers all the fundamental concepts and mathematical skills needed to conduct reliability assessments. * Presents the most widely-used reliability assessment methods. * Concepts that are required for the implementation of risk-based design in practical problems are developed gradually. * Both risk-based and deterministic design concepts are included to show the transition from traditional to modern design practice.

Probability, Reliability, and Statistical Methods in Engineering Design

The first complete guide to using the Stochastic Finite Element Method for reliability assessment Unlike other analytical reliability estimation techniques, the Stochastic Finite Element Method (SFEM) can be used for both implicit and explicit performance functions, making it a particularly powerful and robust tool for today's engineer. This book, written by two pioneers in SFEM-based methodologies, shows how to use SFEM for the reliability analysis of a wide range of structures. It begins by reviewing essential risk concepts, currently available risk evaluation procedures, and the use of analytical and sampling methods in estimating risk. Next, it introduces SFEM evaluation procedures, with detailed coverage of displacement-based and stress-based deterministic finite element approaches. Linear, nonlinear, static, and dynamic problems are considered separately to demonstrate the robustness of the methods. The risk or reliability estimation procedure for each case is presented in different chapters, with theory complemented by a useful series of examples. Integrating advanced concepts in risk-based design, finite elements, and mechanics, Reliability Assessment Using Stochastic Finite Element Analysis is vital reading for engineering professionals and students in all areas of the field.

Reliability Assessment Using Stochastic Finite Element Analysis

Health Assessment of Engineered Structures has become one of the most active research areas and has attracted multi-disciplinary interest. Since available financial recourses are very limited, extending the lifespan of existing bridges, buildings and other infrastructures has become a major challenge to the engineering profession world-wide. Some of its related areas are only in their development phase. As the study of structural health assessment matures, more new areas are being identified to complement the concept. This book covers some of the most recent developments (theoretical and experimental) and application potentials in structural health assessment. It is designed to present currently available information in an organised form to interested parties who are not experts in the subject. Each chapter is authored by the most active scholar(s) in the area. After discussing the general concept, various currently available methods of structural health assessment (such as the use of smart sensors) are presented. Health Assessment discusses the following: sensor types, platforms and data conditioning for practical applications; wireless collection of sensor data, sensor power needs and on-site energy harvesting; and long term monitoring of structures. Uncertainty in collected data is also extensively addressed. A chapter discussing future directions in structural health assessment is also included. Contents:Structural Health Monitoring for Civil Infrastructure (E J Cross, K Worden and C R Farrar)Enhanced Damage Locating Vector Method for Structural Health Monitoring (S T Quek, V A Tran, and N N K Lee)Dynamics-Based Damage Identification (Pizhong Qiao and Wei Fan)Simulation Based Methods for Model Updating in Structural Condition Assessment (H A Nasrellah, B Radhika, V S Sundar, and C S Manohar)Stochastic Filtering in Structural Health Assessment: Some Perspectives and Recent Trends (S Sarkar, T Raveendran, D Roy, and R M Vasu)A Novel Health Assessment Method for Large Three Dimensional Structures (Ajoy Kumar Das and Achintya Haldar)Wavelet-Based Techniques for Structural Health Monitoring (Z Hou, A Hera, and M Noori)The HHT Based Structural Health Monitoring (Norden E Huang, Liming W Salvino, Ya-Yu Nieh, Gang Wang and Xianyao Chen)The Use of Genetic Algorithms for Structural Identification and Damage Assessment (C G Koh and Z Zhang)Health Diagnostics of Highway Bridges Using Vibration Response Data (Maria Q Feng, Hugo C Gomez, and Andrea Zampieri)Sensors Used in Structural Health Monitoring (Mehdi Modares and Jamshid Mohammadi)Sensor Data Wireless Communication, Sensor Power Needs, and Energy Harvesting (Erdal Oruklu, Jafar Saniie, Mehdi Modares, and Jamshid Mohammadi) Readership: Students (undergraduate and graduate), researchers (academic and industrial), and practitioners (government and private) interested in structural engineering. Keywords:Structural Health Assessment;Methodologies;Sensors;Wireless Sensors;Uncertainty Analysis;System IdentificationKey Features:No such book is currently available, it is one of the most active research and development areas in the engineering profession at present and each chapter will be authored by the most active scholar(s) on the subject

Bridges, Buildings and Other Infrastructures

Health Assessment of Engineered Structures

Ardshir Guran

Bilal M. Ayyub

The functionality of modern structural, mechanical and electrical or electronic systems depends on their ability to perform under uncertain conditions. Consideration of uncertainties and their effect on system behavior is an essential and integral part of defining systems. In eleven chapters, leading experts present an overview of the current state of uncertainty modeling, analysis and design of large systems in four major areas: finite and boundary element methods (common structural analysis techniques), fatigue, stability analysis, and fault-tolerant systems. The content of this book is unique; it describes exciting research developments and challenges in emerging areas, and provide a sophisticated toolbox for tackling uncertainty modeling in real systems.

Achintya Haldar

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