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العنوان
Developing an integrated management system for buildings construction considering time, cost, and environmental impact trade Off /
المؤلف
El-Masoudi, Islam Mohamed Ahmed Ali.
هيئة الاعداد
باحث / اسلام محمد احمد علي المسعودي
مشرف / مني جمال الدين
مشرف / عماد السعيد البلتاجي
مشرف / وائل إلهام محمود.
مناقش / رجاء محمد الجزار
مناقش / هشام عبدالخالق السيد
الموضوع
Building - Environmental aspects. Construction - Environmental aspects.
تاريخ النشر
2019.
عدد الصفحات
199 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الهندسة
الناشر
تاريخ الإجازة
16/11/2020
مكان الإجازة
جامعة المنصورة - كلية الهندسة - الهندسه البيئيه
الفهرس
Only 14 pages are availabe for public view

from 201

from 201

Abstract

Air pollution has been and remains to be seen as a serious problem that affects human health and welfare. Construction industry carries a major threat to the environment as it has various impacts on the environment. Construction of buildings in Egypt is considered as one of the large sectors of the construction industry. Integrated environmental protection at the project planning phase should be performed to avoid or minimize pollution. To minimize the generated pollutants, construction engineers and planners need to evaluate and optimize their resource utilization decisions and selections. This research presented the followings: Developing Pollution module that aims at calculating the estimated amount of air pollution generated from construction activities. It accounts for the three main categories by calculating their impact individually. Further, it calculates the Activity Pollution Index (API) which expresses the amount of total pollution for each activity during the project execution phase. Construction authorities and environmental bodies can utilize the Pollution module to assure that the total pollution of construction projects is within the permissible threshold. Also, construction contractors can utilize the model to follow the environmental regulations.  Developing Pollution Based Scheduling Optimization (PBSO) module which describes a two-step quantitative process that could be used to control building’s construction pollution. It expects the distribution of the pollution emission throughout a project’s duration and if it spots that the level of any pollution surpasses the threshold limit at a specific time, the tasks are rescheduled using genetic algorithms technique so that the distribution of pollution can be altered.  Developing an environmental impact assessment module to assess the environmental effects of different building construction tasks according to the construction equipment used. In this module,many environmental categories are considered which include: global warming potential (GWP100), photochemical oxidant formation potential (POFP), acidification potential (AP), eutrophication potential (EP), and human toxicity potential (HTP). The magnitude of these ecological effects is evaluated at the global, regional, and local levels. This module is planned to help contractors and other decision-makers as an evaluation tool in recognizing the construction tasks that produce significant environmental effects due to the equipment utilized and plan accordingly to reduce these impacts.  Developing Time, Cost and Environmental Impact (TCEI) Module that utilizes evolutionary genetic algorithms to carry multi-objective optimization, considering three objective functions; project duration, project cost, and total pollution. It can be applied for any type of construction projects. This module provides decision-makers with a set of solutions to allow carrying out trade- off analysis, in a flexible. manner, with respect to object(s) that is/are deemed important. It aims at selecting the optimal alternatives that achieve minimum duration, cost and pollution which is desirable for comprehensive comparison of different alternatives.  To illustrate the use and capabilities of the developed modules, construction of an administrative building at Egypt is presented as a case study. Key Words ( not more than 10 ) pollution, reschedule, genetic algorithms, optimization, building’s construction.