Asian Journal of Civil Engineering - v. 25, n. 1 (Juli 2023)

Erschienen:	Juli 2023

Artikel in dieser Ausgabe

Autor(en)	Titel	Seite(n)
Onyelowe, Kennedy C. / Ebid, Ahmed M. / Hanandeh, Shadi	Advanced machine learning prediction of the unconfined compressive strength of geopolymer cement reconstituted granular sand for road and liner construction applications	1027-1041
Harle, Shrikant M.	Advancements and challenges in the application of artificial intelligence in civil engineering: a comprehensive review	1061-1078
Kumar Parhi, Suraj / Kumar Panigrahi, Saubhagya	Alkali–silica reaction expansion prediction in concrete using hybrid metaheuristic optimized machine learning algorithms	1091-1113
Foyouzati, Amin	Analytical study on seismic strengthening of reinforced concrete frame equipped with steel damping system with shear mechanism fuse	1115-1127
Abeyrathna, Wasudha Prabodhani / Ariyarathna, Isuri Shanika / Halwatura, R. U. / Arooz, F. R. / Perera, A. S. / Kaklauskas, Arturas	ANN prediction model to improve employees’ thermal satisfaction in tropical green office buildings	343-358
Albostami, Asad S. / Al-Hamd, Rwayda Kh. S. / Alzabeebee, Saif / Minto, Andrew / Keawsawasvong, Suraparb	Application of soft computing in predicting the compressive strength of self-compacted concrete containing recyclable aggregate	183-196
Joshi, Shardul G. / Kwatra, Naveen	Application of wavelet neural network for dynamic analysis of moment resisting frames	675-683
Nabizadeh, Elham / Parghi, Anant	Artificial neural network and machine learning models for predicting the lateral cyclic response of post-tensioned base rocking steel bridge piers	511-523
Guettala, Salah / Abdesselam, Issam / Chebili, Rachid / Guettala, Salim	Assessment of the effects of infill walls’ layout in plan and/or elevation on the seismic performance of 3D reinforced concrete structures	657-673
Padavala, Siva Shanmukha Anjaneya Babu / Kode, Venkata Ramesh / Dey, Subhashish	Bond strength of fly ash and silica fume blended concrete mixes	895-909
Mali, Suyash S. / Kumbhar, Popat D.	Comparative study on behaviour of castellated beams with diamond- and hexagonal-shaped openings using CFRP stiffeners	939-952
Patil, Sourabh S. / Kumbhar, Popat D.	Comparative study on the behaviour of castellated beams provided with hexagonal, circular, and diamond-shaped web openings	359-369
Bharmal, Pravin P. / Kumbhar, Popat D. / Gumaste, Krishnakedar S.	Comparative study on the behaviour of conventional and pre-engineered buildings provided with different types of bracing	451-459
Parajuli, Samvid / Pokhrel, Priyanshu / Suwal, Rajan	A comprehensive study of viscous damper configurations and vertical damping coefficient distributions for enhanced performance in reinforced concrete structures	1043-1059
Kumar Parhi, Suraj / Patro, Sanjaya Kumar	Compressive strength prediction of PET fiber-reinforced concrete using Dolphin echolocation optimized decision tree-based machine learning algorithms	977-996
Shashidhar, R. / Manjunath, D. / Shanmukha, S. M.	CrackSpot: deep learning for automated detection of structural cracks in concrete infrastructure	1079-1090
Teixeira, Mariana Oliveira / Alves, Elcio Cassimiro / de Oliveira Valle, Janaina Pena Soares / Grobério Calenzani, Adenilcia Fernanda	Design of simply supported composite slabs of steel and concrete via metaheuristic optimization algorithm	237-252
Sathiparan, Navaratnarajah / Jeyananthan, Pratheeba / Subramaniam, Daniel Niruban	Effect of aggregate size, aggregate to cement ratio and compaction energy on ultrasonic pulse velocity of pervious concrete: prediction by an analytical model and machine learning techniques	495-509
Hosin, Nasim / Moharana, Narayan Chandra	Effect of torsion on unequal single steel angle purlin sections under biaxial moments by Abaqus analysis	761-771
Mansouri, Saman / Kontoni, Denise-Penelope N. / Pouraminian, Majid	The effects of selection and scaling procedures of earthquake records on the seismic response dispersion of structures and recommendations toward seismic upgrading of codes	81-96
Nguyen, Trong-Ha / Nguyen, Kieu-Vinh Thi / Ho, Viet-Chuong / Nguyen, Duy-Duan	Efficient hybrid machine learning model for calculating load-bearing capacity of driven piles	883-893
Kumar Tipu, Rupesh / Panchal, V. R. / Pandya, K. S.	Enhancing chloride concentration prediction in marine concrete using conjugate gradient-optimized backpropagation neural network	637-656
Kumar Tipu, Rupesh / Batra, Vandna	Enhancing prediction accuracy of workability and compressive strength of high-performance concrete through extended dataset and improved machine learning models	197-218
Tajik, Nima / Mahmoudian, Alireza / Mohammadzadeh Taleshi, Mostafa / Yekrangnia, Mohammad	Explainable XGBoost machine learning model for prediction of ultimate load and free end slip of GFRP rod glued-in timber joints through a pull-out test under various harsh environmental conditions	141-157
Chaudhari, Rahul S. / Bhangale, Pankaj P.	Exploring internal factors affecting construction labor productivity in Mumbai: a study using RII and fuzzy logic	737-746
Phan, Tan-Duy	Fast prediction of the compressive strength of high-performance concrete through a k-nearest neighbor approach	51-66
Rao, Yeduvaka Damodara / Krishna, Ijada Gopala	FE modeling for ultimate behavior predictions of RC beam	477-493
Kumar, Pramod / Pratap, Bheem	Feature engineering for predicting compressive strength of high-strength concrete with machine learning models	723-736
Rasul, Suhaib / Kumar, Vimal	Finite element analysis of interlocking masonry subjected to static loading	427-442
Gulghane, Akshay / Sharma, R. L. / Borkar, Prashant	A formal evaluation of KNN and decision tree algorithms for waste generation prediction in residential projects: a comparative approach	265-280
Onyelowe, Kennedy C. / Ebid, Ahmed M. / Razzaghian Ghadikolaee, Mehrdad	GRG-optimized response surface powered prediction of concrete mix design chart for the optimization of concrete compressive strength based on industrial waste precursor effect	997-1006
Malathy, R. B.	A hybrid Modified Artificial Bee Colony and extended Kalman filter algorithm for structural system identification	385-396
Khelaifia, Akram / Chebili, Rachid / Zine, Ali	Impact of the position and quantity of shear walls in buildings on the seismic performance	953-964
Onyelowe, Kennedy C. / Ebid, Ahmed M. / Hanandeh, Shadi / Moghal, Arif Ali Baig / Onuoha, Ifeanyi C. / Obianyo, Ifeyinwa I. / Stephen, Liberty U. / Ubachukwu, Obiekwe A.	The influence of fines on the hydro-mechanical behavior of sand for sustainable compacted liner and sub-base construction applications	623-635
Onyelowe, Kennedy C. / Ebid, Ahmed M.	The influence of fly ash and blast furnace slag on the compressive strength of high-performance concrete (HPC) for sustainable structures	861-882
Yadav, Himanshu / Roy, Amrit Kumar / Kumar, Anoop	The influence of interactions between two high-rise buildings on the wind-induced moment	371-383
Rahman, Md. Asifur / Zawad, Md Fahad Shahriar / Priyom, Sudipto Nath / Islam, Md. Moinul	Insight into the microstructural properties of bio-engineered concrete matrices and analysis by scanning electron microscopy	609-621
Rout, M. K. Diptikanta / Shubham, Kumar / Biswas, Sabyasachi / Sinha, Abdhesh Kumar	An integrated evaluation of waste materials containing recycled asphalt fine aggregates using central composite design	1007-1025
Naresh, Maloth / Kumar, Vimal / Pal, Joy	A machine learning approach for health monitoring of a steel frame structure using statistical features of vibration data	39-49
Sahu, Anasuya / Kumar, Sanjay / Srivastava, A. K. L. / Pratap, Bheem	Machine learning approach to study the mechanical properties of recycled aggregate concrete using copper slag at elevated temperature	911-921
Mahajan, K. A. / Priyatham, BPRVS / Dhariwal, Saraswati Chand / Arul Jose, J. Prakash / Mallikarjuna Rao, G. / Nakkeeran, G. / Kumar, G. Prem	Machine learning optimization and prediction of waste glass used as partial replacement of coarse aggregate in concrete	965-975
Wijekoon, Sathushka Heshan / Shajeefpiranath, Thirugnasivam / Subramaniam, Daniel Niruban / Sathiparan, Navaratnarajah	A mathematical model to predict the porosity and compressive strength of pervious concrete based on the aggregate size, aggregate-to-cement ratio and compaction effort	67-79
Ahmad, Soran Abdrahman / Rafiq, Serwan Khwrshid / Hilmi, Hozan Dlshad M. / Ahmed, Hemn Unis	Mathematical modeling techniques to predict the compressive strength of pervious concrete modified with waste glass powders	773-785
Pratap, Bheem / Mondal, Somenath / Rao, B. Hanumantha	Mechanical and durability analysis of geopolymer concrete incorporating bauxite residue, phosphogypsum, and ground granulated blast slag	317-326
Khateeb, Ahmed H. / Abdulwahed, Larah R. / Mohammed, Aymen R.	Modeling vibration and crack behavior of reinforced concrete beams: developing artificial neural network predictive models	129-139
Aravalli, Naresh / Sale, Vikas / Lute, Venkat	NDT-based condition assessment and repair technique for an RCC building with wind turbines mounted on the rooftop: a case study	281-294
Prakash, Shubhum / Kumar, Sanjay / Rai, Baboo	A new technique based on the gorilla troop optimization coupled with artificial neural network for predicting the compressive strength of ultrahigh performance concrete	923-938
Yadhav, Adinath / Gosavi, Shubham / Kulkarni, Mrudula	Nonlinear behaviour of a reinforced concrete building subjected to blast load and optimisation using a meta-heuristic algorithm	397-412
Dhingra, Nitika / Saluja, Nitin	A novel non-destructive technique-based automated classification of construction material using machine learning	805-810
Vesmawala, Gaurang / Mehta, Rudradatta	Numerical analysis of steel beam–column connection under cyclic loading with dog bone type fuses	115-122
Dhiman, Prince / Kumar, Vimal	Numerical investigation of reinforced concrete beams under impact loading	537-554
Abou Elezz, A. E. Y. / Mohamed, R. A. S. / Abd Elhameed, R. M. M.	Numerical investigation of various techniques for strengthening the external RC frame connection	97-113
Jain, Nikita / Hussain, Asif	Numerical investigation on two-way voided slab using ABAQUS with replacement of conventional steel with GFRP reinforcement bars	123-128
Ahmad, Soran Abdrahman / Rafiq, Serwan Khwrshid	Numerical modeling to predict the impact of granular glass replacement on mechanical properties of mortar	19-37
Ramezantitkanloo, Amin / Kafi, Mohammad Ali / Kachooee, Ali	Numerical study of concentrically braced frames with the replaceable reduced section under cyclic loading	461-476
Kumar, Ambareesh / Pallav, Kumar	Old masonary tower analysis visual inspection, NDT, and macro-modeling	167-181
Tran, Viet-Linh / Vo, Trong-Cuong / Nguyen, Thi-Quynh	One-dimensional convolutional neural network for damage detection of structures using time series data	827-860
Arvind Saravan, R. / Annadurai, R.	Optimization and prediction of mechanical properties of high-performance concrete with steel slag replacement as coarse aggregate: an experimental study using RSM and ANN	811-826
Ras, Abdelouahab	Parametric investigation of tuned mass damper on metallic buildings response subjected to far-field and near-fault ground motions	413-425
Ngamkhanong, Chayut / Alzabeebee, Saif / Keawsawasvong, Suraparb / Thongchom, Chanachai	Performance of different machine learning techniques in predicting the flexural capacity of concrete beams reinforced with FRP rods	525-536
Patil, Satish Ramesh / Sinha, Manish Kumar / Deshmukh, Mrunalini Amol / Thenmozhi, S. / Sujatha, A.	Predicting and forecasting building energy performance using RSM and ANN	159-165
Al-Rawashdeh, Mohammad / Al Nawaiseh, Moh’d / Yousef, Isam / Bisharah, Majdi / Alkhadrawi, Sajeda / Al-Bdour, Hamza	Predicting building damage grade by earthquake: a Bayesian Optimization-based comparative study of machine learning algorithms	253-264
Gogineni, Abhilash / Panday, Indra Kumar / Kumar, Pramod / Paswan, Rajesh Kr.	Predicting compressive strength of concrete with fly ash and admixture using XGBoost: a comparative study of machine learning algorithms	685-698
Singh, Aditya Pratap / Sharma, Abhishek	Predicting strength of concrete containing waste foundry sand and glass waste using artificial neural network	787-804
Pratap, Bheem / Mondal, Somenath / Hanumantha Rao, Bendadi	Prediction of compressive strength of bauxite residue-based geopolymer mortar as pavement composite materials: an integrated ANN and RSM approach	597-607
Islam, Naimul / Kashem, Abul / Das, Pobithra / Ali, Md. Nimar / Paul, Sourov	Prediction of high-performance concrete compressive strength using deep learning techniques	327-341
Sapkota, Sanjog Chhetri / Saha, Prasenjit / Das, Sourav / Meesaraganda, L. V. Prasad	Prediction of the compressive strength of normal concrete using ensemble machine learning approach	583-596
Gogineni, Abhilash / Panday, Indra Kumar / Kumar, Pramod / Paswan, Rajesh Kr.	Predictive modelling of concrete compressive strength incorporating GGBS and alkali using a machine-learning approach	699-709
Ahmed, Reem Hatem / Elaiwi, Sahar / Ameen, Shelan Hameed	Proposed shear strength structures, experiment, simulation, and analytic model of reinforced concrete flat slab and concrete-filled steel tube column	295-302
Narang, Aishwarya / Kumar, Ravi / Dhiman, Amit	Residual strength index prediction of circular concrete-filled steel tubular columns through advanced machine learning methods	747-760
Fahad, AL / Nayem, Naymul Hasan / Hossain, Md. Nashib / Rabbani, Md. Liton / Opu, Raihan Khan / Al Shuaeb, S. M. Abdullah	Sand fineness modulus prediction in construction sector using convolutional neural network	443-450
Wahab, Abdul Ghafar / Zhong, Tao / Wei, Fangfang / Hakimi, Nadimullah / Ahiwale, Dhiraj D.	Seismic performance enhancement of RC framed structures through retrofitting and strengthening: an experimental and numerical study	555-573
Matinrad, Pezhman / Banazadeh, Mehdi / Taslimi, Arsam	Seismic performance evaluation of a tall building with dual lateral system consisting of moment frames and tuned mass dampers	1-17
Subramaniam, Daniel Niruban / Jeyananthan, Pratheeba / Sathiparan, Navaratnarajah	Soft computing techniques to predict the electrical resistivity of pervious concrete	711-722
Palsara, Chandesh / Kumar, Vimal / Pal, Joy / Naresh, M.	Structural health monitoring of ASCE benchmark building using machine learning algorithms	303-316
dos Santos, Nathanael Risson / Alves, Elcio Cassimiro / Kripka, Moacir	Towards sustainable reinforced concrete beams: multi-objective optimization for cost, CO2 emission, and crack prevention	575-582
Kashifi, Mohammad Tamim / Salami, Babatunde Abiodun / Rahman, Syed Masiur / Alimi, Wasiu	Using explainable machine learning to predict compressive strength of blended concrete: a data-driven metaheuristic approach	219-236

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IssueID
71770
Veröffentlicht am:
14.01.2024
Geändert am:
14.01.2024

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Asian Journal of Civil Engineering - v. 25, n. 1 (Juli 2023)

Artikel in dieser Ausgabe

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Asian Journal of Civil Engineering - v. 25, n. 1 (Juli 2023)

Artikel in dieser Ausgabe

Sie haben Ihr monatliches Download-Limit überschritten! Structurae Plus-Abonnent·innen können 30 Medien bzw. Datensätze pro Monat herunterladen. Structurae Pro-Nutzer·innen sind auf 50 beschränkt.

Pflichtangaben

Sie haben Ihr monatliches Download-Limit überschritten!

Structurae Plus-Abonnent·innen können 30 Medien bzw. Datensätze pro Monat herunterladen.
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