Author: Martin van Staveren
Publisher: Butterworth-Heinemann | Pages: 332 | 2006-08-25 | ISBN: 0750669586 | PDF | 1,7 Mb
All civil engineering and construction projects require some sort of solid foundation, but ground conditions bring some degree of uncertainty to every project. Dealing properly with uncertainty over ground conditions can make the difference between the commercial success and failure of a project.
With margins in the construction industry at historic lows, and with costs of failing to accurately predict ground conditions becoming increasingly high, the importance of proper management of the variety of ground-related risk is paramount.
Risk management has demonstrated its value in many industries, but the full lessons of that experience has not yet fully reached all aspects of civil engineering. In particular the importance of individuals and their own awareness of risks and how to manage them has often been overlooked.
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Please can anyone upload some published papers on SMART tunnel construction in Malaysia, we are designing another project adjacent to the area and looking for referrences,
I ask for a copy of the paper:
Chou et al. Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data Mining Techniques. Journal of Computing in Civil Engineering, 2010
available to buy in
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Posted by: blood_stone - 09-30-2010, 11:11 AM - Forum: Archive
- No Replies
Does anyone have this book:
The Conservation and Structural Restoration of Architectural Heritage (Advances in Architecture)
G. Croci
272 pages
WIT Press; illustrated edition (Jan 1998)
Product Description:
The focus of this book is on how public policy - and especially the planning system - both shapes and reflects the essential characteristics of land and property markets. It challenges the common misconceptions that property markets operate in isolation from public policy and that planning permission is the only significant form of state intervention in the market.
Planning, Public Policy & Property Markets contends that effective state-market relations in land and property are critical to a prosperous economy and a robust democracy, especially at a time when development aims to be sustainable and environmental protection needs to be matched by urban and rural regeneration.
The book thus reflects an increased realisation among academics and practitioners of the importance of theoretical integration and ‘joined-up’ policy-making. Its rounded perspective addresses a significant weakness in the academic literature and will encourage broader debate and a more pluralist agenda for property research.
Prominent contributors present important new research on different market sectors and policy arenas, including regeneration and renewal, housing growth, housing planning, transport and economic competitiveness, while the editors specifically draw out more general lessons on the dynamic nature of the state/property market relationship in a modern economy.
This book will encourage all those involved in property research who strive for theoretical and practical connectivity to demonstrate that, just as property market operations cannot be analysed without understanding state processes, policy decisions cannot be taken without an appreciation of how the market operates.
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Speed. Dependability. Great Tech Support. Lahey Fortran . The standard for Fortran programming from the leader in Fortran language systems.
We've combined our 30+ years of writing award-winning Fortran language systems with Intel's highly-optimized code generator and a Windows development environment to deliver the most-productive, best-supported Fortran language system for the PC. And as always, there are no hidden or additional tech support fees when you purchase a Lahey product. You get free, unlimited, expert tech support via e-mail, web page, fax, phone, and postal mail.
Whether you write new Fortran programs or downsize existing applications, you need speed, dependability, and great tech support. You need Lahey Fortran!.
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Product Description
Apply the principles of probability and statistics to realistic engineering problems
The easiest and most effective way to learn the principles of probabilistic modeling and statistical inference is to apply those principles to a variety of applications. That's why Ang and Tang's Second Edition of Probability Concepts in Engineering (previously titled Probability Concepts in Engineering Planning and Design) explains concepts and methods using a wide range of problems related to engineering and the physical sciences, particularly civil and environmental engineering.
Now extensively revised with new illustrative problems and new and expanded topics, this Second Edition will help you develop a thorough understanding of probability and statistics and the ability to formulate and solve real-world problems in engineering. The authors present each basic principle using different examples, and give you the opportunity to enhance your understanding with practice problems. The text is ideally suited for students, as well as those wishing to learn and apply the principles and tools of statistics and probability through self-study.
Key Features in this 2nd Edition:
* A new chapter (Chapter 5) covers Computer-Based Numerical and Simulation Methods in Probability, to extend and expand the analytical methods to more complex engineering problems.
* New and expanded coverage includes distribution of extreme values (Chapter 3), the Anderson-Darling method for goodness-of-fit test (Chapter 6), hypothesis testing (Chapter 6), the determination of confidence intervals in linear regression (Chapter 8), and Bayesian regression and correlation analyses (Chapter 9).
* Many new exercise problems in each chapter help you develop a working knowledge of concepts and methods.
* Provides a wide variety of examples, including many new to this edition, to help you learn and understand specific concepts.
* Illustrates the formulation and solution of engineering-type probabilistic problems through computer-based methods, including developing computer codes using commercial software such as MATLAB and MATHCAD.
* Introduces and develops analytical probabilistic models and shows how to formulate engineering problems under uncertainty, and provides the fundamentals for quantitative risk assessment.
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