Seismic Vulnerability Assessment of Existing Building Stocks at Chandgaon in Chittagong City, Bangladesh
Atik Sarraz,
Md. Khorshed Ali,
Debesh Chandra Das
Issue:
Volume 3, Issue 1, January 2015
Pages:
1-8
Received:
17 September 2014
Accepted:
21 December 2014
Published:
15 January 2015
Abstract: The draft of Bangladesh National Building Code (BNBC)-2012 has been updated the seismic coefficient of 0.28g (with Zone III) for Chittagong region, which is larger than the previous of 0.15g (with Zone II). Chittagong is the largest port city and commercial capital of Bangladesh, which has many development activities as like of planned residential areas. Although BNBC code is up-to-date with earthquake provisions since 1993 with interpreting several new clauses and provisions, but in case of pre-code revision structures it is quite unsafe. Thus it is quite impossible to reduce earthquake damage without considering the safety of pre-code revision structures. In this regards earthquake vulnerability of Chandgaon Residential Area(R/A) has been assessed on the basis of potential structural vulnerability of more than 300 buildings. Initial results reveal that there have large varieties of construction practices, however, predominantly RCC structures were found. RVS score of these structures reveal that in general buildings are of minimum quality and further evaluation and strengthening of buildings is recommended. Walk down evaluation encountered several factors which were responsible for comparatively lower range of vulnerability scores.
Abstract: The draft of Bangladesh National Building Code (BNBC)-2012 has been updated the seismic coefficient of 0.28g (with Zone III) for Chittagong region, which is larger than the previous of 0.15g (with Zone II). Chittagong is the largest port city and commercial capital of Bangladesh, which has many development activities as like of planned residential ...
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Simulation Analysis for Schedule and Performance Evaluation of Slip Forming Operations
Hesham Abdel Khalik,
Shafik Khoury,
Remon Aziz,
Mohamed Abdel Hakam
Issue:
Volume 3, Issue 1, January 2015
Pages:
9-25
Received:
4 January 2015
Accepted:
20 January 2015
Published:
3 February 2015
Abstract: Slipforming operation’s linearity is a source of planning complications, and operation is usually subjected to bottlenecks at any point, therefore, predicting construction duration is a difficult task due to the construction industry’s uncertainty. Unfortunately, available planning tools do not carefully consider the variance and scope of the factors affecting Slipforming. Discrete-event simulation concepts can be applied to simulate and analyze construction operations and to efficiently support construction planning. The aim of this paper is to facilitate the adoption of DES and assist in determining most effective parameters that affect Slipform operation’s duration in addition to better illustration of operation characteristics and overlapped parameters effects. To achieve this goal, a two-stage methodology for the development of an integrated simulation approach for Slipforming silo construction operations was proposed. Typical construction sequences in Slipforming construction were first identified, and then the statistical distributions of controlling activities on the sequences were surveyed. Subsequently, a DES model for predicting the duration of Slipforming construction was proposed, applied to a Slipform project and validated. The performance of the proposed model is validated by comparing simulation model results with a real case study showing average accuracy of 98.7%.Moreover research results defines the most effective factors arrangement that directly affects project schedule and to be taken in account by presenting the proportion of effectiveness of each value on research objectives. This research is considered beneficial for practitioners to estimate an overall construction schedule of building projects, especially in preconstruction phases.
Abstract: Slipforming operation’s linearity is a source of planning complications, and operation is usually subjected to bottlenecks at any point, therefore, predicting construction duration is a difficult task due to the construction industry’s uncertainty. Unfortunately, available planning tools do not carefully consider the variance and scope of the facto...
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