Strength, functionality and beauty of university buildings in earthquake-prone countries | Semantic Scholar Skip to search formSkip to main content> Semantic Scholar's Logo Search Sign InCreate Free Account You are currently offline. Some features of the site may not work correctly. DOI:10.2183/pjab.94.009 Corpus ID: 3791965Strength, functionality and beauty of university buildings in earthquake-prone countries @article{Wada2018StrengthFA, title={Strength, functionality and beauty of university buildings in earthquake-prone countries}, author={A. Wada}, journal={Proceedings of the Japan Academy. Series B, Physical and Biological Sciences}, year={2018}, volume={94}, pages={129 - 138} } A. Wada Published 2018 Engineering, Medicine Proceedings of the Japan Academy. Series B, Physical and Biological Sciences Strength, functionality and beauty are the three qualities identifying well-designed architecture. For buildings in earthquake-prone countries such as Japan, emphasis on seismic safety frequently leads to the sacrifice of functionality and beauty. Therefore, it is important to develop new structural technologies that can ensure the seismic performance of a building without hampering the pursuit of functionality and beauty. The moment-resisting frame structures widely used for buildings in Japan… Expand View on PubMed jstage.jst.go.jp Save to Library Create Alert Cite Launch Research Feed Share This Paper 1 Citations View All Figures and Topics from this paper figure 1 figure 2 figure 3 figure 4 figure 5 figure 6 figure 7 figure 8 figure 9 figure 10 figure 11 figure 12 figure 13 figure 14 figure 15 View All 15 Figures & Tables Walls of a building Earthquakes One Citation Citation Type Citation Type All Types Cites Results Cites Methods Cites Background Has PDF Publication Type Author More Filters More Filters Filters Sort by Relevance Sort by Most Influenced Papers Sort by Citation Count Sort by Recency Energy-Efficient and Renewable Energy-Supported Buildings in Hot and Humid Regions N. Enteria, H. Yoshino Environmental Science 2020 Save Alert Research Feed References SHOWING 1-10 OF 19 REFERENCES SORT BYRelevance Most Influenced Papers Recency Lessons from the Behavior of a Monitored 11-Story Building during the 2011 Tohoku Earthquake for Robustness against Design Uncertainties Z. Qu, H. Sakata, S. Midorikawa, A. Wada Engineering 2015 11 PDF Save Alert Research Feed Pin‐supported walls for enhancing the seismic performance of building structures Z. Qu, A. Wada, S. Motoyui, H. Sakata, S. Kishiki Engineering 2012 102 PDF Save Alert Research Feed Seismic collapse resistance of RC frame structures——Case studies on seismic damages of several RC frame structures under extreme ground motion in Wenchuan Earthquake L. Yi Engineering 2009 5 Save Alert Research Feed OUTLINE OF EARTHQUAKE PROVISIONS IN THE RECENTLY REVISED JAPANESE BUILDING CODE H. Aoyama 2009 6 PDF Save Alert Research Feed Seismic Retrofit Using Rocking Walls and Steel Dampers A. Wada, Z. Qu, H. Ito, S. Motoyui, H. Sakata, Kazuhiko Kasai Engineering 2009 47 Save Alert Research Feed Effect of gravity columns on mitigation of drift concentration for braced frames X. Ji, M. Kato, T. Wang, T. Hitaka, M. Nakashima Engineering 2009 67 Save Alert Research Feed Seismic Design Of Reinforced Concrete And Masonry Buildings B. Pfeffer Engineering 2016 317 Save Alert Research Feed EFFECT OF COLUMN STIFFNESS ON BRACED FRAME SEISMIC BEHAVIOR G. MacRae, Yoshihiro Kimura, C. Roeder Engineering 2004 168 PDF Save Alert Research Feed A More Rational Approach to Capacity Design of Seismic Moment Frame Columns K. Bondy Engineering 1996 10 Save Alert Research Feed Strongback steel-braced frames for improved seismic behavior in buildings, Engineering Journal American Institute of Steel Construction, 2017 ... 1 2 ... Related Papers Abstract Figures and Topics 1 Citations 19 References Related Papers Stay Connected With Semantic Scholar Sign Up About Semantic Scholar Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. Learn More → Resources DatasetsSupp.aiAPIOpen Corpus Organization About UsResearchPublishing PartnersData Partners   FAQContact Proudly built by AI2 with the help of our Collaborators Terms of Service•Privacy Policy The Allen Institute for AI By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License ACCEPT & CONTINUE