Introduction to Finite Element Analysis Using MATLAB® and Abaqus

Bridge Design and Evaluation: LRFD and LRFR

Load and Resistance Factor Design (LRFD) and Load and Resistance Factor Rating (LRFR) are design and evaluation methods that have replaced or offered alternatives to other traditional methods as the new standards for designing and load-rating U.S. highway bridges. Bridge Design and Evaluation covers complete bridge systems (substructure and superstructure) in one succinct, manageable package. It presents real-world bridge examples demonstrating both their design and evaluation using LRFD and LRFR. Designed for a 3- to 4-credit undergraduate or graduate-level course, it presents the fundamentals of the topic without expanding needlessly into advanced or specialized topics.

- Exclusive focus on LRFD and LRFR
- Hundreds of photographs and figures of real bridges to connect the theoretical with the practical
- Design and evaluation examples from real bridges including actual bridge plans and drawings and design methodologies
- Numerous exercise problems
- Specific design for a 3- to 4-credit course at the undergraduate or graduate level
- The only bridge engineering textbook to cover the important topics of bridge evaluation and rating
- Bridge Design and Evaluation is the most up-to-date and inclusive introduction available for students in civil engineering specializing in structural and transportation engineering.

Modular precast concrete bridges

This publication outlines the development of a modular precast concrete bridge system. This new system provides designers with a concrete solution for medium span bridges that can be used for the majority of bridge locations. The modular system incorporates easily transportable precast concrete shell units that support and combine compositely with the post-tensioned, in-situ concrete core. Guidance includes an introduction to the system followed by structural details, construction options and example costs. Scheme drawings and construction programmes for case study examples are also provided.

Introduction to Optimum Design, 3rd edition

Introduction to Optimum Design is the most widely used textbook in engineering optimization and optimum design courses. It is intended for use in a first course on engineering design and optimization at the undergraduate or graduate level within engineering departments of all disciplines, but primarily within mechanical, aerospace and civil engineering. The basic approach of the text is to describe an organized approach to engineering design optimization in a rigorous yet simplified manner, illustrate various concepts and procedures with simple examples, and demonstrate their applicability to engineering design problems. Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text. Excel and MATLAB are featured throughout as learning and teaching aids. The 3rd edition has been reorganized and enhanced with new material, making the book even more appealing to instructors regardless of the level they teach the course. Examples include moving the introductory chapter on Excel and MATLAB closer to the front of the book and adding an early chapter on practical design examples for the more introductory course, and including a final chapter on advanced topics for the purely graduate level course.

New key features:
Basic concepts of optimality conditions and numerical methods are described with simple and practical examples, making the material highly teachable and learnable.
Applications of the methods for structural, mechanical, aerospace, and industrial engineering problems
Introduction to MATLAB Optimization Toolbox
Optimum design with Excel Solver has been expanded into a full chapter
Practical design examples introduce students to the use of optimization methods early in the book
New material on several advanced optimum design topics serves the needs of instructors who teach more advanced courses

Contents:
Introduction to Design Optimization; Optimum Design Problem Formulation; Graphical Optimization and Basic Concepts; Optimum Design Concepts: Optimality Conditions; More on Optimum Design Concepts: Optimality Conditions; Optimum Design with Excel Solver; Optimum Design with MATLAB®; Linear Programming Methods for Optimum Design; More on Linear Programming Methods for Optimum Design; Numerical Methods for Unconstrained Optimum Design; More on Numerical Methods for Unconstrained Optimum Design; Numerical Methods for Constrained Optimum Design; More on Numerical Methods for Constrained Optimum Design; Practical Applications of Optimization; Discrete Variable Optimum Design Concepts and Methods; Genetic Algorithms for Optimum Design; Multi-objective Optimum Design Concepts and Methods; Global Optimization Concepts and Methods; Nature-Inspired Search Methods; Additional Topics on Optimum Design; Appendix A: Vector and Matrix Algebra; Appendix B: Sample Computer Programs

Infrastructure Health in Civil Engineering Volume 2: Applications and Management

Continually increasing demands on infrastructures mean that maintenance and renewal require timely, appropriate action that maximizes benefits while minimizing cost. To be as well informed as possible, decision-makers must have an optimal understanding of an infrastructure’s condition—what it is now, and what it is expected to be in the future.
Written by two highly respected engineers, the second volume, Infrastructure Health in Civil Engineering: Applications and Management, integrates the decision making concept into theoretical and practical issues.
It covers:
- State-of-the-art practice and future directions
- Use of probability and statistics in areas including structural modeling
- Specific practical applications, including retrofitting and rehabilitation in response to earthquake damage, corrosion, fatigue, and bridge security
- Use of IHCE for management and maintenance of different types of structures using pre-stressed and reinforced concrete, and fiber-reinforced polymers (FRPs)
- Numerous practical case studies, as well as coverage of the latest techniques in the use of sensors for damage detection and load testing
Built to correspond to the ideas presented in its companion volume, Theory and Components, this is an invaluable guide to optimized, cost-saving methods that will help readers meet safety specifications for new projects, as well as the aging infrastructure at great risk of failure.

Infrastructure Health in Civil Engineering Volume 1: Theory and Components

Continually increasing demands on infrastructures mean that maintenance and renewal require timely, appropriate action that maximizes benefits while minimizing cost. To be as well informed as possible, decision-makers must have an optimal understanding of an infrastructure’s condition—what it is now, and what it is expected to be in the future.
Written by two highly respected engineers, the first volume, Infrastructure Health in Civil Engineering: Theory and Components, integrates the decision making concept into theoretical and practical issues.
It includes:
- An overview of the infrastructure health in civil engineering (IHCE) and associated theories
- In-depth description of the four components of SHCE: measurements, structural identification, damage identification, and decision making
- Discussion of how IHCE and asset management are applied
- An exploration of infrastructure health management
Built to correspond to the ideas presented in its companion volume, Applications and Management, this is an invaluable guide to optimized, cost-saving methods that will help readers meet safety specifications for new projects, as well as aging infrastructures at high risk for failure.