Asian Journal of Civil Engineering - v. 24, n. 7 (avril 2023)

Publié:	avril 2023

Articles dans ce numéro

Auteur(s)	Titre	Page(s)
Hong Son, Pham Vu / Khoi, Luu Ngoc Quynh	Adaptive opposition slime mold algorithm for time–cost–quality–safety trade-off for construction projects	1927-1942
Shiva Kumar, M. / Selvaraj, Thirumalini	Ancient organic lime plaster production technology and its properties among Mayan, Egyptian, Persian and Asian civilizations	2709-2718
Esmaielzadeh, Sajad / Mahmoodi, Mohammad Javad / Jalili Sadr Abad, Mohammad	Application of signal processing techniques in structural health monitoring of concrete gravity dams	2049-2063
Tran Le Hoang, Trung / Masuya, Hiroshi / Kurihashi, Yusuke / Minh, Tan Trinh	An artificial neural network for predicting the ultimate bending moments in reinforced concrete beams with fiber-reinforced polymer strengthening	2295-2305
Kumar, G. Prem / Thirumurugan, V. / Satyanarayanan, K. S.	Artificial neural network prediction of window openings and positions in reinforced concrete infilled frames with pneumatic interface	1915-1925
Arvind Saravan, R. / Annadurai, R.	Artificial neural networking prediction of the mechanical properties of high-performance concrete with zeolite replacement with cement	2491-2503
Rouhi, Hamze / Kontoni, Denise-Penelope N.	Calculation of the spectral correction factor for the design of reinforced concrete frames equipped with steel plate shear wall under near-field earthquakes	2363-2373
Prince, Minhajul Bari / Mollah, Md. Nahidul Islam / Chowdhury, Md. Rashid Awal / Sen, Debasish	Comparison of lateral behavior of an existing RC building under nonlinear static and incremental dynamic loads	2155-2164
Sharma, Kamal / Trivedi, Manoj Kumar	Discrete OBNSGA III method-based robust multi-objective scheduling model for civil construction projects	2247-2264
Shaikh, Mohammad Farhan / Nallasivam, K.	Dynamic response of a box-girder bridge using the finite element technique	2165-2178
Aswal, Surbhi / Nallasivam, K.	Dynamic response of a multi-span suspension bridge subjected to highway vehicle loading	2467-2479
Shukla, Kashyap / Nallasivam, K.	Dynamic response of high-rise buildings with shear walls due to seismic forces	2645-2657
Mahmood, Mohammed / Salman, Wissam D. / Mubarak, Huda M.	Effectiveness of geopolymer in the strengthening of RC beams using bottom NSM reinforcements	2451-2465
Hammel, Lukas / Otto, Jens / Will, Frank / Lehmann, Franziska / Anders, Erik / Voigt, Matthias	Electric-impulse-technology: results of a basic investigation into the use of the technology as a selective demolition method in the construction industry	1981-1995
Monisha, R. / Balasubramanian, M.	Energy simulation through design builder and temperature forecasting using multilayer perceptron and Gaussian regression algorithm	2089-2101
Kontoni, Denise-Penelope N. / Farghaly, Ahmed Abdelraheem	Enhancing the earthquake resistance of RC and steel high-rise buildings by bracings, shear walls and TMDs considering SSI	2595-2608
Pham, Vu Hong Son / Nguyen, Ngo Luan	Estimating the volume of civil construction materials by machine learning models	2077-2088
Tewari, Divyansh / Senthil, K. / Sharma, Ankur	Evaluation of force and dynamic factor on reinforced concrete deck slab through the static and transient dynamic tests	2229-2246
Shallan, Osman / Abd-El-Mottaleb, Hanaa E. / El-Kahlawy, Abdelsattar / Fathy, Ebtsam	Evaluation of modeling and seismic energy dissipation capability of buckling restrained braces	2571-2582
Awla, Halmat Ahmed / Karaton, Muhammet / Ramadhan Taher, Nichirvan / Sor, Nadhim Hamah / Arbili, Mohamed Moafak	Evaluation of the accuracy of shell elements when used for modelling masonry minaret structures under seismic loading	2011-2018
Shaffaf, Noora N. / Ammash, Haider K.	Experimental study of steel plate girder with innovative shape of web under concentrated load	2521-2530
Ahiwale, Dhiraj D. / Kontoni, Denise-Penelope N. / Jadhav, Aniket V. / Bawale, Akanksha B.	FEM analysis of the effect of various brick bond patterns on masonry walls under in-plane cyclic loading	2629-2643
Ali, Zainab Hasan / Burhan, Abbas M.	Hybrid machine learning approach for construction cost estimation: an evaluation of extreme gradient boosting model	2427-2442
Rabbani, Ahsan / Samui, Pijush / Kumari, Sunita	Implementing ensemble learning models for the prediction of shear strength of soil	2103-2119
Pathak, Sudhanshu S. / Vesmawala, Gaurang R.	Influence of Nano-TiO2 and water to cement ratio on fracture parameters of concrete	1969-1979
Mohammed, Tesfaye Alemu / Shirtaga, Shewarega	Insulation effect on post-earthquake fire punching shear behavior of slab–column connections	2505-2520
Ghalati, Ahmadreza Keshtkar / Taromsari, Farnaz Mottaghi	Integration of photovoltaic modules to optimize energy usage in residential buildings	2179-2191
Anbarasan, Selvakumar / Varatharajan, Thirumurugan / Srinivasan, Satyanarayanan Kachabeswara	Interface pressure optimization in a masonry-infilled single bay seven-storey RC frame with an adaptive pneumatic interface using ANN	2029-2047
Ibrahim, Mohaimen AbdulJaleel / Naimi, Sepanta	Investigation and numerical simulations of the impact of openings on the workability and performance of flat slabs via a punching shear resistance analysis	2141-2153
Chakravarty, Supran / Kanti Sen, Mrinal / Khiangte, Lalzuimuani	An investigation of the compressive strength of concrete by substituting fine aggregate with sawdust	2415-2425
Harikrishna, T. / Cyril Thomas, A. / Baskar, K.	Investigation on behaviour of horizontally spliced ceiling girders employed in boiler structures	2215-2228
Al mnaseer, Rakan / Al-Smadi, Sharaf / Al-Bdour, Hamza	Machine learning-aided time and cost overrun prediction in construction projects: application of artificial neural network	2583-2593
Al Yamani, Walaa Hussein / Ghunimat, Dalin Mohammad / Bisharah, Majdi Mowafaq	Modeling and predicting the sensitivity of high-performance concrete compressive strength using machine learning methods	1943-1955
Mashayekhi, M. R. / Mosayyebi, S.	A new hybrid Harris hawks optimization (HHO) and particle swarm optimization (PSO) algorithm for the design of castellated beams	2121-2139
Gamit, Nilam / Sarde, Bhagyashri / Patil, Yogesh D. / Dholakiya, Bharatkumar Z.	A novel approach towards the use of an agro-industrial waste-based polymer composite delineated from palm oil fuel ash and red mud for sustainable construction applications	2307-2325
Choudhari, Vinod A. / Morkhade, Samadhan G.	Numerical analysis of newly developed Angelina beams	2019-2028
Chaturvedi, D. K. / Bandyopadhyay, Boudhayan	Optimal floor plan for residential houses using Eastern concepts of Vaastu Shastra: an artificial intelligence approach	2327-2335
Hong Son, Pham Vu / Nguyen Dang, Nghiep Trinh	Optimizing time and cost simultaneously in projects with multi-verse optimizer	2443-2449
Gudainiyan, Jitendra / Gupta, Praveen Kumar	Parametric study of L-shaped irregular building under near-field ground motion	2561-2570
Hamza, Mariam / Muhaisin, Muthana	Performance of steel coupling beam with trapezoidal corrugated web: experimental tests and numerical analysis	2355-2362
Arabiat, Ahmad / Al-Bdour, Hamza / Bisharah, Majdi	Predicting the construction projects time and cost overruns using K-nearest neighbor and artificial neural network: a case study from Jordan	2405-2414
Verma, Manvendra	Prediction of compressive strength of geopolymer concrete using random forest machine and deep learning	2659-2668
Vincent, P. / Eswari, R. Packieya / Theenathayalan, R. / Suganya, R.	Prediction of foam stability for synthetic anionic ammonium-based surfactants having identical hydrophilic head group	2481-2490
Yancheshmeh, Behzad Shokrollahi / Adeli, Mehdi Mahdavi	A probabilistic approach for seismic demand estimation of steel moment frames considering capacity uncertainty	2669-2691
Ahiwale, Dhiraj D. / Patil, Ajit N.	Quantification and parametric investigation for plan asymmetric low-rise steel frame structure considering soil-structure interaction under vertical ground motion	2337-2353
Thippa, Pavan Kumar / Tripathi, R. K. / Bhat, Govardhan	Response of multiple-earthquake excitations on RC-framed buildings	2265-2282
Nekouei, Ghazal / Oskouei, Asghar Vatani / Gharehbaghi, Sadjad / Plevris, Vagelis	Seismic response modification, over-strength, and displacement amplification factors of steel special truss moment frames	2531-2548
Veerapandian, Varunkumar / Pandulu, Gajalakshmi / Jayaseelan, Revathy / Mohammed Asif, M. Y.	Simplified deep-learning approach for estimating the ultimate axial load of circular composite columns	2375-2387
Fernandes, Roshan / Marathe, Shriram / Rodrigues, Anisha P. / Sadowski, Łukasz / Akhila, S.	Smart modelling system for alkali-activated concrete pavements using machine learning techniques	2193-2213
Majumder, Mainak / Venkatraman, Srinivasan	A state-of-the-art review paper on the vibration screening techniques using open and in-filled trenches	2693-2708
Aswal, Surbhi / Nallasivam, K.	Static response of a multi-span suspension bridge subjected to highway vehicle loading	1899-1914
Sahu, Vaishali / Sharma, Kashi Nath	Study of risks in high rise building projects in India and the mitigation measures	1957-1967
Varma, B. Vamsi / Prasad, E. V. / Singha, Sudhakar	Study on predicting compressive strength of concrete using supervised machine learning techniques	2549-2560
Mohammadyar, Mohammad Amin / Akhtarpour, Ali	A study on the seismic soil − structure interaction of a concrete shear wall − steel frame building system with underground stories	2609-2627
Alemu, Yohannes L. / Habte, Bedilu / Lahmer, Tom / Urgessa, Girum	Topologically preoptimized ground structure (TPOGS) for the optimization of 3D RC buildings	2283-2293
Nabizadeh, Elham / Parghi, Anant	Vision-based concrete crack detection using deep learning-based models	2389-2403

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IssueID
70475
Publié(e) le:
12.09.2023
Modifié(e) le:
12.09.2023

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Asian Journal of Civil Engineering - v. 24, n. 7 (avril 2023)

Articles dans ce numéro

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Asian Journal of Civil Engineering - v. 24, n. 7 (avril 2023)

Articles dans ce numéro

Vous avez dépassé votre limite de téléchargement mensuelle ! Les abonné·es à Structurae Plus peuvent télécharger 30 images ou ensembles de données par mois. Les utilisateurs·rices de Structurae Pro sont limités à 50.

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