نتایج جستجو برای: reinforcement

تعداد نتایج: 40552  

Journal: :مهندسی عمران فردوسی 0
حمید کریمی زاده محمدرضا افتخار

the use of polymer composite (frp) as a reinforcement material for the repair and strengthening of important components of reinforced concrete structures, particularly columns, has found wide spread. in this study, the effect of intermediate layer on improving the confinement behavior of reinforced concrete columns has been investigated. to achieve the objectives of the study, 14 cylindrical re...

Journal: :مهندسی متالورژی و مواد 0
نسیبه ولی بیگلو رسول آذری خسروشاهی

using the nanotechnology and decreasing the dimension of reinforcement particles to nanometer, outstanding mechanical properties are achieved in aluminum matrix nanocomposites. fabrication of aluminum matrix nanocomposites by casting is of great importance because of its simplicity, low cost and ease of the control of matrix microstructure. in this study, the aging behavior of nanocomposite sam...

Journal: :international journal of civil engineering 0
ali kheyroddin hosein naderpour

a parametric study is performed to assess the influence of the tension reinforcement index, ( ω = ρ fy /f bc), and the bending moment distribution (loading type) on the ultimate deformation characteristics of reinforced concrete (rc) beams. the analytical results for 15 simply supported beams with different amounts of tension reinforcement ratio under three different loading conditions are pres...

Journal: :civil engineering infrastructures journal 0
mussa mahmoudi shahid rajaee teacher training university seyed mohammad reza mortazavi shahid rajaee teacher training university saeid ajdari shahid rajaee teacher training university

response modification factor (r factor) is one of the seismic design parameters to be considered in evaluating the performance of buildings during strong motions. this paper has tried to evaluate the response modification factor of concrete coupled shear wall structures with various length/depth ratios of spandrel beams. the effect of diagonal reinforcement of spandrel beam was also evaluated o...

Journal: :international journal of civil engineering 0
a. asakereh vali-asr st., mirdamad intersection, tehran s.n. moghaddas tafreshi vali-asr st., mirdamad intersection, tehran m. ghazavi vali-asr st., mirdamad intersection, tehran

this paper describes a series of laboratory model tests on strip footings supported on unreinforced and geogrid-reinforced sand with an inside void. the footing is subjected to a combination of static and cyclic loading. the influence of various parameters including the embedment depth of the void, the number of reinforcement layers, and the amplitude of cyclic load were studied. the results sh...

Journal: :journal of rehabilitation in civil engineering 2015
atieh khajeh seyed roohollah mousavi mehrollah rakhshani mehr

a reinforced concrete member in which the total span or shear span is especially small in relation to its depth is called a deep beam. in this study, a new approach based on the adaptive neural fuzzy inference system (anfis) is used to predict the shear strength of reinforced concrete (rc) deep beams. a constitutive relationship was obtained correlating the ultimate load with seven mechanical a...

Journal: :Journal of applied behavior analysis 2004
Terry S Falcomata Henry S Roane Alyson N Hovanetz Tracy L Kettering Kris M Keeney

In the current study, we examined the utility of a procedure consisting of noncontingent reinforcement with and without response cost in the treatment of inappropriate vocalizations maintained by automatic reinforcement. Results are discussed in terms of examining the variables that contribute to the effectiveness of response cost as treatment for problem behavior maintained by automatic reinfo...

2002
Y. Yang A. N. Zincir-Heywood M. I. Heywood S. Srinivas

The AntNet algorithm for adaptive routing is implemented on a LAN using the TCP/ IP protocol. A study is made of the relative merits of different reinforcement parameters central to the stable operation of the algorithm. The case of a constant reinforcement leads to slow but dependable performance whereas adaptive reinforcement appears to be sensitive to the window over which statistics are est...

2007
Carlos H. C. Ribeiro

In the last few years, reinforcement learning algorithms have been proposed as a more natural way of modelling animal learning. Unlike supervised learning methods, reinforcement learning addresses the basic problem faced by an animal when trying to control a discrete stochastic dynamic system: discover by trial and error a policy of actions that maximises some criterium of optimality, usually e...

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