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The structural system failure probability (SFP) is a valuable tool for evaluating the global safety level of concrete gravity dams. Traditional methods for estimating the failure probabilities are based on defined mathematical descriptions, namely, limit state functions of failure modes. Several problems are to be solved in the use of traditional methods for gravity dams. One is how to define the limit state function really reflecting the mechanical mechanism of the failure mode; another is how to understand the relationship among failure modes and enable the probability of the whole structure to be determined. Performing SFP analysis for a gravity dam system is a challenging task. This work proposes a novel nonlinear finite-element-based SFP analysis method for gravity dams. Firstly, reasonable nonlinear constitutive modes for dam concrete, concrete/rock interface and rock foundation are respectively introduced according to corresponding mechanical mechanisms. Meanwhile the response surface (RS) method is used to model limit state functions of main failure modes through the Monte Carlo (MC) simulation results of the dam-interface-foundation interaction finite element (FE) analysis. Secondly, a numerical SFP method is studied to compute the probabilities of several failure modes efficiently by simple matrix integration operations. Then, the nonlinear FE-based SFP analysis methodology for gravity dams considering correlated failure modes with the additional sensitivity analysis is proposed. Finally, a comprehensive computational platform for interfacing the proposed method with the open source FE code Code Aster is developed via a freely available MATLAB software tool (FERUM). This methodology is demonstrated by a case study of an existing gravity dam analysis, in which the dominant failure modes are identified, and the corresponding performance functions are established. Then, the dam failure probability of the structural system is obtained by the proposed method considering the correlation relationship of main failure modes on the basis of the mechanical mechanism analysis with the MC-FE simulations.

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The current proposal is not a standard but an HTML API to which closed software (CDMs) could be linked to. So it will be the wild if that proposal passes: everyone could write any CDM (compatible with his website) and the code will or won't be multi-platform (according to coder choices and knowledge). So we could virtually need to download and install as much CDMs as there are websites that uses that system.In regards with these information, and knowing that W3C is an organisation supposed to build and ship STANDARDS, they must refuse arguing that the proposal won't better anything and the same purpose can already be done with browser's plugins. RMS is right. Again. Posted May 7, 2013 9:52 UTC (Tue) by coriordan (guest, #7544) [Link]

MATLAB Help Desk [.pdf] -ccs.ucsd.edu/matlab/MATLAB is a powerful, widely used tool for mathematics and technical computing, but its sheer size and number of features can be daunting. The MATLAB Help Desk, offered by the University of California at San Diego Center for Coastal Studies, provides extensive documentation and guides to assist users. Several online manuals, which describe everything from basic usage to graphics and built-in toolboxes, can be downloaded. Documentation is also available for writing programs in C and Fortran to interact with MATLAB. A handy search tool allows users to enter a function name and receive information about its syntax and usage. [CL][Back to Contents]

Singular: A Computer Algebra System for Polynomial Computations [.dvi, .gz, .ps, .pdf, .hlp] -kl.de/Developed by mathematicians at the University of Kaiserslautern in Germany, Singular is a "Computer Algebra System for polynomial computations with special emphasis on the needs of commutative algebra, algebraic geometry, and singularity theory." The software is available for free online in Windows, Macintosh, and UNIX versions. The authors of Singular offer extensive documentation, examples, and suggested applications to give users a proper introduction. Registration is not required to download the software, but it is necessary to receive support and updates. [CL][Back to Contents]

Web Robots and Web Mining1. The Web Robots Pages 2. Web Mining - The E-Tailer's Holy Grail _action.cfm?EdID=18913. DePaul University: Lectures and Course Material [.pdf] classes/ect584/lecture.html4. Design and Implementation of a High-Performance Distributed Web Crawler [.pdf] 5. Data Mining for Web Intelligence [.pdf] -faculty.cs.uiuc.edu/kcchang/Papers/dmweb-ieeecomputer02.pdf6. Web Mining with a Genetic Algorithm 7. KDnuggets News for 2003 8. Breaking Gimpy: Researchers Crack Security System Designed to Block Internet Robots _gimpy.htmlManually indexing the World Wide Web is obviously an impossible task, and it is even a daunting challenge for automated techniques. Web content mining is a general term used to describe these techniques, which are intended for information categorization and filtering. Web robots serve a variety of purposes, including indexing; and they can be useful or, in some cases, harmful. Web usage mining, on the other hand, is used to determine how a Web site's structure and organization effect the way users navigate the site.The Web Robots Pages (1) is an excellent starting place to learn about these automated programs. Several hundred robots are documented in a database, and a selection of papers considers proper ethics and guidelines for using robots, among other things. An article on Web mining and its subclasses is given on DM Review (2). It describes the basics of Web analysis and outlines many benefits Web mining can offer. A course homepage on Web data mining from DePaul University (3) offers a broad selection of reading material on the subject. Mostly consisting of research papers and journal articles, the documents range from general applications to specific theories and case studies. Two computer scientists from Polytechnic University propose a robust, distributed Web crawler (another term for Web robot), intended for large-scale network interaction (4). The twelve page paper begins with the motivation for the project, and continues with a full description of the system architecture and implementation. The November 2002 issue of Computer magazine featured an article on Data Mining for Web Intelligence (5). It points out that today's Internet is lacking in many key aspects, and that Web mining will play an important role in the development of improved search engines and automatic document classification. A short poster presentation from the 2002 International World Wide Web Conference (6) introduces GeniMiner, a Web search strategy based on a genetic algorithm. GeniMiner operates on the premise of finding a nearly optimal solution in order to minimize manual analysis of the search results. KDnuggets (7) is a free, biweekly newsletter on data and Web mining. In recent issues, special attention has been given to the Total Information Awareness project, which is investigating ways of mining the Web and email for possible information about terrorist activity. Web robots are occasionally used for malicious purposes, namely to automatically register for free email or participate in online polls. A technology that was developed to counter these robots involved using a blurred or distorted word to gain access, which could easily be read by a human but would be impossible for a robot to read. In a press release from the University of California at Berkeley (8), researchers have discovered a way to allow Web robots to crack this security system. The article describes how it was accomplished and provides motivation for more advanced security measures. [CL][Back to Contents] 2ff7e9595c