In light of increasing demand for energy consumption due to life complexity and its requirements, which reflected on architecture in type and size, Environmental challenges have emerged in the need to reduce emissions and power consumption within the construction sector. Which urged designers to improve the environmental performance of buildings by adopting new design approaches, Invest digital technology to facilitate design decision-making, in short time, effort and cost. Which doesn’t stop at the limits of acceptable efficiency, but extends to the level of (the highest performance), which doesn’t provide by traditional approaches that adopted by researchers and local institutions in their studies and architectural practices, limits to assumption of prototypes and their design characteristics to evaluate and select the efficient ones. Without comprehensive coverage to variables range and design possibilities with points of balance between the conflicting influence on performance. Forcing them to shorten, round up and exclude many (values and determinants) to avoid consequent of extra time and effort and the additional costs for performance assessment methods. All due to the cognitive weakness in adopt modern approaches, which become easier for designers to learning and apply. Highlighting (Performance-Based Parametric Design), which achieves this level of performance and avoided all the negative aspects of traditional approaches. Although this approach has been applied in several architecture trends, however, this research will focus on (climate performance and energy consumption). Highlighting a research problem, “lack of cognitive clearness about the nature of adopting parametric approach for performance-based design in order to achieve more efficient designs”. The research will focus on local housing patterns as a simplified model for applying the parametric approach, So the research goal will be “Highlighting and unveiling the nature of the parametric approach and its mechanism in performance-Based Design, to create and optimize design characteristics, towards most efficient designs within the local housing styles”. To achieve this goal was to build a hypothesis “The mechanism of parametric approach Managed to address a conflict influence of design characteristics in building’s thermal and light performance, such as (dimensions, locations orientation of building spaces and windows to wall area ratio). To reach a balancing point between them, for maximum reduction in cooling energy consumption in the summer, while keeping a comfortable level of natural lighting.” The research adopted an applied method to Revealed the parametric design mechanism To represent these characteristics as (parameters) to process and test them within three sequential process, (modeling, simulation and optimization), combined in one digital tool, uses algorithm to select the effective characteristics, that matching the resulted performance with specific criteria determined by the designer. The approach optimizes characteristics of three local housing pattern (Detached, Attached, and courtyard), within local environment, in order to achieve optimal efficient design. Ending with a set of conclusions about the importance and necessity of adopting this new approach within local architectural and environmental practices and studies.
We aimed to obtain magnesium/iron (Mg/Fe)-layered double hydroxides (LDHs) nanoparticles-immobilized on waste foundry sand-a byproduct of the metal casting industry. XRD and FT-IR tests were applied to characterize the prepared sorbent. The results revealed that a new peak reflected LDHs nanoparticles. In addition, SEM-EDS mapping confirmed that the coating process was appropriate. Sorption tests for the interaction of this sorbent with an aqueous solution contaminated with Congo red dye revealed the efficacy of this material where the maximum adsorption capacity reached approximately 9127.08 mg/g. The pseudo-first-order and pseudo-second-order kinetic models helped to describe the sorption measure
Experimental programs based test results has been used as a means to find out the response of individual elements of structure. In the present study involves investigated behavior of five reinforced concrete deep beams of dimension (length 1200 x height 300 x width150mm) under two points concentrated load with shear span to depth ratio of (1.52), four of these beams with hallow core and
retrofit with carbon fiber reinforced polymer CFRP (with single or double or sides Strips). Two shapes of hallow are investigated (circle and square section) to evaluated the response of beams in case experimental behavior. Test on simply supported beam was performed in the laboratory & loaddeflection, strain of concrete data and crack pattern of
Composite materials are widely used in the engineered assets as aerospace structures, marine and air navigation owing to their high strength/weight ratios. Detection and identification of damage in the composite structures are considered as an important part of monitoring and repairing of structural systems during the service to avoid instantaneous failure. Effective cost and reliability are essential during the process of detecting. The Lamb wave method is an effective and sensitive technique to tiny damage and can be applied for structural health monitoring using low energy sensors; it can provide good information about the condition of the structure during its operation by analyzing the propagation of the wave in the
... Show MoreRelease of industrial effluents comprising dyes in water bodies is one of the foremost causes of water pollution. Therefore, the proper and proficient treatment of these dyes contaminated left-over material before their release is crucial. Herein, an eco-friendly biological macromolecule Gum-Acacia (GA) integrated Fe3O4 nanoparticles composite hydrogel was manufactured via co-precipitation technique for effective adsorption of Congo red (CR) dye existing in water bodies. The as-prepared magnetic GA/Fe3O4 composite hydrogel was characterized by FTIR, XRD, EDX, VSM, SEM, and BET techniques. These studies discovered the fruitful fabrication of biodegradable magnetic GA/Fe3O4 composite hydrogel possessing porous structure with large surface are
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Shear and compressional wave velocities, coupled with other petrophysical data, are vital in determining the dynamic modules magnitude in geomechanical studies and hydrocarbon reservoir characterization. But, due to field practices and high running cost, shear wave velocity may not available in all wells. In this paper, a statistical multivariate regression method is presented to predict the shear wave velocity for Khasib formation - Amara oil fields located in South- East of Iraq using well log compressional wave velocity, neutron porosity and density. The accuracy of the proposed correlation have been compared to other correlations. The results show that, the presented model provides accurate
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