Asian Journal of Civil Engineering - v. 25, n. 2 (octobre 2023)

Publié:	octobre 2023

Articles dans ce numéro

Auteur(s)	Titre	Page(s)
Kumar, Anish / Sinha, Sanjeev / Pandey, Divya / Maurya, Madan Chandra / Chauhan, Vinay Bhushan	Advanced regression models for assessing the strength of multi-walled carbon nanotube-modified high-volume fly ash concrete	2247-2268
Kurlapkar, Rohit Rajendra / Patil, Amit Prakash / Kumbhar, Popat D.	Analyzing the influence of perforations on the structural behavior of mild steel cellular beams	1385-1394
almahameed, Bader aldeen / Bisharah, Majdi	Applying Machine Learning and Particle Swarm Optimization for predictive modeling and cost optimization in construction project management	1281-1294
Kontoni, Denise-Penelope N. / Farghaly, Ahmed Abdelraheem	Assessing seismic mitigation schemes of tuned mass dampers for monopile offshore wind turbine including pile–soil–structure interaction	1773-1799
Ahiwale, Dhiraj / Jadhav, Komal / Morkhade, Samadhan / Khartode, Rushikesh / Bhosale, Deepak	Cellular versus standard beams: impact on steel frame stability and load-carrying capacity	2159-2174
Gudainiyan, Jitendra / Gupta, Praveen Kumar	Comparative analysis of T-shaped base isolated building under far fault and near fault earthquake	2333-2343
Arora, Rishabh / Kumar, Kaushal / Dixit, Saurav	Comparative analysis of the influence of partial replacement of cement with supplementing cementitious materials in sustainable concrete using machine learning approach	1517-1530
Agrawal, Suyesha / Gupta, Praveen Kumar / Ghosh, Goutam	A comparative assessment on the response of isolated curved bridges with varying radius of curvature	1967-1977
Yadav, Kundan / Sharma, R. L.	Comparative study of biochar and charcoal and their application in the construction industry	1179-1194
Bansal, Tushar / Talakokula, Visalakshi / Saravanan, T. Jothi	Comparative study of machine learning methods to predict compressive strength of high-performance concrete and model validation on experimental data	1195-1206
Patil, Sourabh Subhash / Kumbhar, Popat Dattatray / Kurlapkar, Rohit Rajendra	Comparative study on behavior of castellated beams of different shaped openings provided with mild steel and FRP stiffeners	1659-1670
Patil, Jagruti / Gosavi, Rahul / Minde, Pravin	A comprehensive review of seismic response of cast-in-place and prefabricated underground metro station buildings	1877-1898
Kumar, Pramod / Pratap, Bheem / Sharma, Sanjay / Kumar, Indra	Compressive strength prediction of fly ash and blast furnace slag-based geopolymer concrete using convolutional neural network	1561-1569
Naresh, Maloth / Kumar, Vimal / Pal, Joy	A convolutional neural network-based architecture for health monitoring of joint damages in a steel plane frame structure under temperature variability	2077-2089
Shendkar, Mangeshkumar R. / Kontoni, Denise-Penelope N. / Işık, Ercan	Determination of the seismic vulnerability of infilled RC buildings according to the Quadrants assessment method	2209-2228
Narwal, Anil / Setia, Saraswati / Sachdeva, S. N.	Effect of Indian soil medium on the seismic response of a bridge with and without bearings	2059-2075
Agrawal, Suyesha / Gupta, Praveen Kumar	Efficacy of a curved bridge with isolation bearing under seismic loading	2149-2158
Long, Luong Duc / Anh, Thong Kim	Enhancing accuracy in cost estimation for façade works: integration of case-based reasoning, random forest, and artificial neural network techniques	1267-1280
Alishvandi, Ali / Karimi, Javad / Damari, Siavash / Moayedi Far, Arsham / Setodeh Pour, Mohammad / Ahmadi, Morteza	Estimating the compressive strength of plastic concrete samples using machine learning algorithms	1503-1516
Bajaj, Rachana / Yadav, Shalini	Estimation of elastic and inelastic seismic behavior of reinforced concrete framed structures	1613-1624
Gogineni, Abhilash / Rout, M. K. Diptikanta / Shubham, Kumar	Evaluating machine learning algorithms for predicting compressive strength of concrete with mineral admixture using long short-term memory (LSTM) Technique	1921-1933
Kiani, Mahdi / Enayati, Hamed	Evaluation of a nonlinear TMD seismic performance for multi-degree of freedom structures	1395-1412
Sankar, Tanikonda Siva / Priyatham, B. P. R. V. S. / Ramkumar, B. A. V.	Evaluation of SSI impact on the structural performance of RC buildings	1295-1307
Marid, Hussein / Khalilzadeh Vahidi, Ebrahim	Experimental study on flexural behavior of reinforced lightweight concrete beams strengthening with a slurry infiltrated fiber concrete (SIFCON)	1811-1823
Abdesselam, Issam / Guettala, Salah / Zine, Ali	Fiber-based modeling for investigating the existence of a soft storey for masonry infilled reinforced concrete structures	1949-1965
Kumar, Ambareesh / Pallav, Kumar	Finite element analysis of a 108-year-old unreinforced brick masonry tower following the 2015 Nepal earthquakes	2175-2188
Almohammed, Fadi / Thakur, Mohindra S.	Forecasting compressive strength of concrete with basalt and polypropylene fiber by using ANN, RF and RT models	1671-1690
Kashyap, Veena / Poddar, Arunava / Sihag, Parveen / Kumar, Bhupender	Forecasting compressive strength of jute fiber reinforced concrete using ANFIS, ANN, RF and RT models	2033-2044
Mehdizadeh Khorrami, Behrouz / Soleimani, Alireza / Pinnarelli, Anna / Brusco, Giovanni / Vizza, Pasquale	Forecasting heating and cooling loads in residential buildings using machine learning: a comparative study of techniques and influential indicators	1163-1177
Alam, Rehan / Gul, Akhtar / Abidin, Zain ul / Wali Khan, Sajjad / Shah, Feroz / Shahzada, Khan	Improvement in mechanical properties of brick masonry with the help of engineered cementous composites (ECCs)	2121-2131
Ismail, Rabah	Improving wastewater treatment plant performance: an ANN-based predictive model for managing average daily overflow and resource allocation optimization using Tabu search	1427-1441
Mohammed, Bzhar Muheddin / Güneyisi, Esra Mete	Inelastic behavior of reinforced concrete structure with tuned mass damper	1841-1856
Onyelowe, Kennedy C. / Ebid, Ahmed M. / Hanandeh, Shadi	The influence of nano-silica precursor on the compressive strength of mortar using Advanced Machine Learning for sustainable buildings	1135-1148
Gadikota, Chennakesava Reddy / Chandra, D. S.	Influence of slag content on mechanical, durability and microstructural performance and their correlations in fly ash geopolymers exposed to marine environment	2091-2108
Ahad, Ahmed Abdul / Ahmed, Md. Muheeb / Mohammed, M. S. Haji Sheik / Umar, Mohd	Investigation on influence of corrosion and protective coating on steel rebars on flexural performance of RC beams	2133-2147
Singh, Sumit / Bano, Samreen / Singh, Vikash / Singh, Amarendra / Kumar, Ajay / Singh, Satyendra Narain	An investigative inquiry into harnessing the capabilities of machine learning for the assessment of compressive strength in red mud-based concrete enriched with fly ash as a viable road construction constituent	1571-1585
Nguyen, Trong-Ha / Nguyen, Duc-Xuan / Nguyen, Thanh-Tung Thi / Phan, Van-Long / Nguyen, Duy-Duan	Machine learning models for predicting the axial compression capacity of cold‑formed steel elliptical hollow section columns	1935-1947
Hong Son, Pham Vu / Khoi, Luu Ngoc Quynh	Multi-modal optimization for time–cost–quality–work continuity trade-off in construction projects using a hybrid based on SMA and M&C	1825-1839
Kumar, Virender / Singh, Rahul / Pandey, Amrendra	Multiple stakeholders’ critical success factors scale for success on large construction projects	1691-1705
Jibril, Mahmud M. / Malami, Salim Idris / Jibrin, Hauwa Baffa / Muhammad, Umar Jibrin / Duhu, Mohammed Adamu / Usman, A. G. / Ibrahim, A. G. / Ozsahin, Dilber Uzun / Lawal, Zaharaddeen Karami / Abba, S. I.	New random intelligent chemometric techniques for sustainable geopolymer concrete: low-energy and carbon-footprint initiatives	2287-2305
Nguyen, Thi-Quynh / Vo, Trong-Cuong / Nguyen, Thi-Thu Hien / Tran, Viet-Linh	Novel hybrid SCA-XGB model for compressive strength of concrete at elevated temperatures	1741-1751
Subramanian, S. A. Vengadesh / Umamaheswari, N.	Numerical and analytical investigations on cold-formed steel stud wall system using FEA and validation using ANN and RSM	1899-1919
Alqattan, Hosny Fathallah / El Aghoury, Ihab Mohamed / Ibrahim, Sherif Abdel-Basset	Numerical evaluation of wedge-type falsework joint	1331-1348
Jain, Nikita / Hussain, Asif	Numerical investigation and cost comparison on voided slab with replacement of conventional steel with GFRP reinforcement bars using FEM for different shapes and spacing of void formers	1979-1993
Mastan, Sheik / Anandh, S. / Sindhu Nachiar, S.	Numerical method and validation using ANN of composite steel–concrete beam for optimized geometry and emplacement of web opening	1539-1559
Karaka, Hemanth Kumar / Tripathi, Rajesh Kumar	Numerical modeling of weak infills with a central opening in high-strength concrete frames under pseudo-static loading using applied element method	1225-1239
Gupta, Laxmi / Sharma, R. L.	ODDTCN energy modeling: a meta-heuristic-aided energy performance designing and consumption forecasting in existing building environment	2269-2286
Jebaraj, S. Tennison Augustine / Ramasamy, N. / Anand, M. Dev / Santhi, N.	Parametric analysis of non-linear suspension system by optimal MR damper by rider model with sensor	1413-1425
Choudhari, Vinod A. / Morkhade, Samadhan G.	Perforated beams with various strengthening techniques	2325-2331
Pujari, Atul B. / Bhatkar, Saquib / Undre, Abhijeet R.	Performance based design of high rise reinforced concrete structures	1487-1502
Abdelaziz, Mohamed Magdi / El-Ghazaly, Hany Ahmed / Gomaa, Mohamed Sayed	Performance of prestressed girders under blast loading: a probabilistic approach	2109-2120
Vo, Trong-Cuong / Nguyen, Thi-Quynh / Tran, Viet-Linh	Predicting and optimizing the concrete compressive strength using an explainable boosting machine learning model	1365-1383
Mansour, Dina M. / Ebid, Ahmed M.	Predicting thermal behavior of mass concrete elements using 3D finite difference model	1601-1611
Gogineni, Abhilash / Rout, M. K. Diptikanta / Shubham, Kumar	Prediction of compressive strength of glass fiber-reinforced self-compacting concrete interpretable by machine learning algorithms	2015-2032
Anas, S. M. / Alam, Mehtab / Saidani, Messaoud	Prediction of impact response of square reinforced concrete (RC) slab with square/circular opening under drop-weight impact using FEM simulation	2189-2208
Bagher Shemirani, Alireza / Lawaf, Mohammad Parsa	Prediction of tensile strength of concrete using the machine learning methods	1207-1223
Pessoa, Carolina Luiza Emerenciana / Peres Silva, Victor Hugo / Stefani, Ricardo	Prediction of the self-healing properties of concrete modified with bacteria and fibers using machine learning	1801-1810
Al-Ghabawi, Humam Hussein Mohammed / Khattab, Mustafa M. / Zahid, Idrees A. / Al-Oubaidi, Bilal	The prediction of the ultimate base shear of BRB frames under push-over using ensemble methods and artificial neural networks	1467-1485
Kumar, Anish / Sinha, Sanjeev / Saurav, Samir / Chauhan, Vinay Bhushan	Prediction of unconfined compressive strength of cement–fly ash stabilized soil using support vector machines	1149-1161
Kumar, Ajay / Singh, Vikash / Singh, Sumit / Kumar, Rakesh / Bano, Samreen	Prediction of unconfined compressive strength of cement–lime stabilized soil using artificial neural network	2229-2246
Kumar Tipu, Rupesh / Batra, Vandna / Panchal, V. R. / Pandya, K. S.	Predictive modelling of surface chloride concentration in marine concrete structures: a comparative analysis of machine learning approaches	1443-1465
Malathy, R. B.	Publisher Correction: A hybrid Modified Artificial Bee Colony and extended Kalman filter algorithm for structural system identification	2345-2346
Ahiwale, Dhiraj D. / Patil, Ajit N.	Quantification study for stability and safety of concrete gravity dam subjected to near-fault vertical ground motions	1309-1329
Kumar, Anish / Sinha, Sanjeev / Saurav, Samir	Random forest, CART, and MLR-based predictive model for unconfined compressive strength of cement reinforced clayey soil: a comparative analysis	2307-2323
Sufyan, Md Saeb / Samui, Pijush / Mishra, Shambhu Sharan	Reliability analysis of portal frame subjected to varied lateral loads using machine learning	2045-2058
Madhuri, Seeram / Kumar, Pramod	Response of asymmetric reinforced concrete buildings under directional seismic loads	1625-1640
Onyelowe, Kennedy C. / Kontoni, Denise-Penelope N. / Pilla, Sita Rama Murty / Hanandeh, Shadi / Ebid, Ahmed M. / Razzaghian Ghadikolaee, Mehrdad / Stephen, Liberty U.	Runtime-based metaheuristic prediction of the compressive strength of net-zero traditional concrete mixed with BFS, FA, SP considering multiple curing regimes	1241-1253
Bano, Samreen / Mumtaz, Neha / Bano, Farheen / Ahmad, Syed Aqeel	A scientific investigation explores the application of machine learning to assess the compressive strength of red mud-based concrete, enhanced with fly ash, for potential use as a building construction material	1707-1723
Farahbod, F. / Aalam, H. / Jahanmohammadi, A.	Seismic behavior of three-dimensional interior reinforced concrete beam–column joints strengthened with CFRP sheets	1641-1658
Kontoni, Denise-Penelope N. / Farghaly, Ahmed Abdelraheem	Seismic control of T-shape in plan steel high-rise buildings with SSI effect using tuned mass dampers	1725-1739
Kontoni, Denise-Penelope N. / Farghaly, Ahmed Abdelraheem	Seismic control of vertically and horizontally irregular steel high-rise buildings by tuned mass dampers including SSI	1995-2014
Thakur, Ankur / Senthil, K.	Seismic performance of confined masonry walls with different infill materials: a comparative study	1587-1599
Nguyen, Trong-Ha / Nguyen, Xuan-Bang / Nguyen, Van-Hoa / Nguyen, Thu-Hang Thi / Nguyen, Duy-Duan	Shear strength prediction of concrete beams reinforced with FRP bars using novel hybrid BR-ANN model	1753-1771
Al-Bayati, Ahmed Faleh / Taki, Zahir Noori M.	Shear strength prediction of steel fiber reinforced concrete beams without transverse reinforcements	1857-1875
Pratap, Bheem / Kumar, Pramod / Shubham, Kumar / Chaudhary, Neeraj	Soft computing-based investigation of mechanical properties of concrete using ready-mix concrete waste water as partial replacement of mixing portable water	1255-1266
Bharmal, Pravin P. / Kumbhar, Popat D. / Gumaste, Krishnakedar S.	Structural behavior of pre-engineered industrial buildings provided with different types of bracings in various seismic zones	1531-1538
Paul, Sourov / Das, Pobithra / Kashem, Abul / Islam, Naimul	Sustainable of rice husk ash concrete compressive strength prediction utilizing artificial intelligence techniques	1349-1364

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sur cette fiche
IssueID
71844
Publié(e) le:
10.02.2024
Modifié(e) le:
10.02.2024

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International Association for Bridge and Structural Engineering (IABSE)

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Asian Journal of Civil Engineering - v. 25, n. 2 (octobre 2023)

Articles dans ce numéro

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Asian Journal of Civil Engineering - v. 25, n. 2 (octobre 2023)

Articles dans ce numéro

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