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Health Monitoring of High-rise Building with Fiber Optic Sensor (SOFO)
Mikami, Takao,Nishizawa, Takao Council on Tall Building and Urban Habitat Korea 2015 International journal of high-rise buildings Vol.4 No.1
Structural health monitoring is becoming more and more important in the domain of civil engineering as a proper mean to increase and maintain the safety, especially in the land of earthquakes like Japan. In many civil structures, the deformations are the most relevant parameter to be monitored. In this context, a monitoring technology based on the use of long-gage fiber optic deformation sensor, SOFO is being applied to a 33-floors tall building in Tokyo. Sensors were installed on the $2^{nd}$ floor's steel columns of the building on May 2005 in the early stage of the construction. The installed SOFO sensors were dynamic compatible ones which enable both static and dynamic measurements. The monitoring is to be performed during the whole lifespan of the building. During the construction, static deformations of the columns had been measured on a regular basis using a reading unit for static measurement and dynamic deformation measurements were occasionally conducted using a reading unit for dynamic measurement. The building was completed on August 2006. After the completion, static and dynamic deformation measurements have been continuing. This paper describes a health monitoring technology, SOFO system which is applicable to high-rise buildings and monitoring results of a 33-floors tall building in Tokyo from May 2005 to October 2010.
Multi-criteria shape design of crane-hook taking account of estimated load condition
Takao Muromaki,Kazuyuki Hanahara,Yukio Tada 국제구조공학회 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.51 No.5
In order to improve the crane-hook‟s performance and service life, we formulate a multi-criteriashape design problem considering practical conditions. The structural weight, the displacement at specifiedpoints and the induced matrix norm of stiffness matrix are adopted as the evaluation items to be minimized. The heights and widths of cross-section are chosen as the design variables. The design variables areexpressed in terms of shape functions based on the Gaussian function. For this multi-objective optimizationproblem with three items, we utilize a multi-objective evolutionary algorithm, that is, the multi-objectiveParticle Swarm Optimization (MOPSO). As a common feature of obtained solutions, the side views aretapered shapes similar to those of actual crane-hook designs. The evaluation item values of the obtaineddesigns demonstrate importance of the present optimization as well as the feasibility of the proposed optimaldesign approach.