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Development of AI-based Prediction and Assessment Program for Tunnelling Impact
유충식,SYED AIZAZ HAIDER2,양재원,TABISH ALI 한국지반신소재학회 2019 한국지반신소재학회 논문집 Vol.18 No.4
In this paper the development and implementation of an artificial intelligence (AI)-based Tunnelling Impact prediction and assessment program (SKKU-iTunnel) is presented. Program predicts tunnelling induced surface settlement and groundwater drawdown by utilizing well trained ANNs and uses these predicted values to perform the damage assessment likely to occur in nearby structures and pipelines/utilities for a given tunnel problem. Generalised artificial neural networks (ANNs) were trained, to predict the induced parameters, through databases generated by combining real field data and numerical analysis for cases that represented real field conditions. It is shown that program equipped with carefully trained ANN can predict tunnel impact assessments and perform damage assessments quiet efficiently and comparable accuracy to that of numerical analysis. This paper describes the idea and implementation details of the SKKU-iTunnel with an example for demonstration.
Effect of Embedded Pipelines within Slab Thickness on Punching Shear Capacity of Flat Slabs
Haider Ali Al-Tameemi,Mohsen A. Habelalmateen,Ahmed A. Alalikhan 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.1
Frequently, construction requirements demand to provide service pipelines passing laterally within slab thickness near the slab-column connections of flat slabs. The flat slabs including such conducted pipelines are expected to undergo a significant reduction in the punching shear capacity. For this purpose, experimental program was conducted in this study incorporating 10 specimens of reinforced concrete flat slab. One slab specimen was solid slab with no pipeline as a reference specimen and the other nine slab specimens were fabricated with either single or double pipelines passing through the slab thickness at different locations. Test results indicated that including pipelines within the slab thickness at a horizontal distance equal to or less than one-half of the slab thickness from the face of the column led to a substantial reduction in the ultimate load and the stiffness of the flat slabs. It was also found that the structural performance of a flat slab with double small pipelines horizontally aligned near tension face was more desirable than that of a flat slab with a single large pipeline. Furthermore, a modification is suggested to be introduced to the punching shear equation of Eurocode 2 to include the effect of the embedded pipelines in flat slabs.
Ali, Haider,Cheema, Taqi Ahmad,Park, Cheol Woo Elsevier 2017 INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER - Vol.106 No.-
<P><B>Abstract</B></P> <P>This paper presents a novel empirical correlation to estimate the heat transfer in raceway ponds for different pond sizes and depths. The correlation involves the calculation of Nusselt number. Heat transfer in outdoor raceway ponds was modeled with the effects of pond design, hydrodynamics, and environmental conditions. Monthly average water temperature, Nusselt number, and Prandtl number were used to examine the heat transfer phenomena between pond and its surroundings. A novel relation was also employed to estimate the amount of monthly evaporated water from the raceway ponds. Different aspect ratios, pond depths, and paddle wheel rotational speeds were considered to evaluate the effect of pond geometry and turbulent mixing on heat transfer. The use of empirical relation is an effective approach in designing raceway ponds to estimate heat loss in ponds. Algal productivity decreased with increasing amount of evaporated water. Moreover, the environmental conditions, pond design, and turbulent mixing significantly affected the heat transfer rate and the optimum water temperature for algal growth.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Heat transfer between pond water and atmosphere effects microalgae growth. </LI> <LI> Empirical relation is an effective approach in the design of microalgae raceway ponds. </LI> <LI> Optimal temperatures in raceway pond were achieved in the summer and spring. </LI> <LI> High paddle wheel rotational speeds reduced the thermal stratification. </LI> <LI> Heat loss in raceway ponds was increased by increasing the water depths. </LI> </UL> </P>
Intelligent PID Controller Tuning for Higher Order Process System
Haider Ali,Sulochana Wadhwani 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.6
This paper demonstrates the implementation of PID controller tuning using evolutionary technique which is Genetic Algorithm (GA). The optimal PID control scheme is applied to higher order system. The execution of this evolutionary strategy is evaluated by setting the objective function as mean square error (MSE), Integral time absolute error (ITAE) and Integral absolute error (IAE) one at a time. This technique will determine the global minimum value of its objective function and hence gives the optimal value of the gain parameters. The PID controller performance analysis using Ziegler-Nichols Tuning methodology and Genetic Algorithm is also demonstrated in this paper.