Velification analysis of earthquake-resistant design for pier with large-scale group-pile foundation.

1993 ◽  
pp. 67-76
Author(s):  
Yoichi FUSE ◽  
Eiji ASHIHARA ◽  
Toshio KIKUCHI ◽  
Iemitsu KUBODERA
Author(s):  
Md. Farrukh ◽  
Nadeem Faisal ◽  
Kaushik Kumar

In the long history of mankind's existence, nature's forces have influenced human existence to a great extent. Of all natural disasters, the least understood and most destructive are earthquakes. Their claim of human lives and material losses constantly force people to search for better protection, still a great challenge for engineers and researchers worldwide. Although important progress has been done in understanding seismic activity and developing buildings technology, a better way of protecting buildings on large scale is still in search. The essential features of earthquake resistance structure are stable foundation design, regularity, ductility, adequate stiffness, redundancy, and ruggedness. The chapter focuses on increasing the knowledge dictum of earthquake resistant design and discusses the various sorts of issues and challenges. It also presents a wide view on optimization techniques that are required to be done in the latest technology currently in practice so as to achieve the optimum design techniques.


Author(s):  
Yasuo Sawamura ◽  
Keita Inagami ◽  
Tomohiko Nishihara ◽  
Takashi Kosaka ◽  
Masahiro Hattori ◽  
...  

1983 ◽  
Vol 1983 (339) ◽  
pp. 127-136 ◽  
Author(s):  
Yoshio OHNE ◽  
Hidehiro TATEBE ◽  
Kunitomo NARITA ◽  
Tetsuo OKUMURA

Author(s):  
GENE F. SIRCA ◽  
HOJJAT ADELI

In earthquake-resistant design of structures, for certain structural configurations and conditions, it is necessary to use accelerograms for dynamic analysis. Accelerograms are also needed to simulate the effects of earthquakes on a building structure in the laboratory. A new method of generating artificial earthquake accelerograms is presented through adroit integration of neural networks and wavelets. A counterpropagation (CPN) neural network model is developed for generating artificial accelerograms from any given design spectrum such as the International Building Code (IBC) design spectrum. Using the IBC design spectrum as network input means an accelerogram may be generated for any geographic location regardless of whether earthquake records exist for that particular location or not. In order to improve the efficiency of the model, the CPN network is modified with the addition of the wavelet transform as a data compression tool to create a new CPN-wavelet network. The proposed CPN-wavelet model is trained using 20 sets of accelerograms and tested with additional five sets of accelerograms available from the U.S. Geological Survey. Given the limited set of training data, the result is quite remarkable.


2002 ◽  
pp. 97-107 ◽  
Author(s):  
Makoto KIMURA ◽  
Hiroshi MAKING ◽  
Katsunori OKAWA ◽  
Hiroyuki KAMEI ◽  
Feng ZHANG

1975 ◽  
Vol 101 (7) ◽  
pp. 1349-1366
Author(s):  
Anil K. Chopra ◽  
C-Y. Liaw

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