Computing in civil engineering : proceedings of the 2011 by Yimin, Ph.D. Zhu, R. Raymond, Ph.D. Issa

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By Yimin, Ph.D. Zhu, R. Raymond, Ph.D. Issa

Court cases of the 2011 ASCE foreign Workshop on Computing in Civil Engineering, held in Miami, Florida, June 19-22, 2011. subsidized through Technical Council on Computing and knowledge know-how of ASCE.

This assortment comprises 114 peer-reviewed papers that supply the easiest and most recent in modern learn at the functional demanding situations, in addition to the parts of technological progress and improvement, of computing in civil engineering. individuals from around the globe learn such subject matters as: novel engineering, building, and administration applied sciences; layout, engineering, and research; sustainable and resilient infrastructure; and state-of-the-art developments.

This e-book may be beneficial to pros and researchers who're attracted to computing in a variety of civil engineering disciplines.

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Additional info for Computing in civil engineering : proceedings of the 2011 ASCE International Workshop on Computing in Civil Engineering, June 19-22, 2011, Miami, Florida

Example text

The correlation coefficient between measurements from two sensors si and s j are computed and compared with a given correlation coefficient. All sensor pairs having a correlation coefficient greater than the given coefficient are selected in order to compute the robust regression line. The linear relation between si and s j is written as s ' j  asi  b where s ' j represents the value of s j calculated according to the linear relation. a and b are the coefficients of the robust regression line estimated from measurements.

The user might specify that reduction in energy below 10% is not significant, and therefore, the sensitivity of this objective is defined as 10%. The algorithm starts off with a set of solutions that are generated by any search technique, for example, PGSL (Raphael and Smith, 2003b) or Genetic algorithms. Each solution point contains the values for all the objectives as well as the decision variables (optimization variables). The set of solutions are sequentially filtered according to the order of importance of objectives.

And Golinval, J. C. (2005a). " Mechanical Systems and Signal Processing, 19(4), 847-864. Yan, A. , and Golinval, J. C. (2005b). " Mechanical Systems and Signal Processing, 19(4), 865-880. ca ABSTRACT A facility management strategy requires that an organization’s major operational concerns are dealt with, such as: avoiding the risk of catastrophic failures, planning for asset maintenance and reducing the quantity of spare parts and associated inventory costs. To bring this into further perspective, it is a well known fact that many systems suffer increasing wear with usage and age and are subject to random failures that are linked to the deterioration of these assets.

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