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Despite the extensive use of lime-based mortar in construction, particularly for the strengthening of structures as externally bonded materials, its behavior under acidic conditions remains poorly understood in the literature. This study aims to address this gap by investigating the mechanical performance of lime-based mortar under prolonged exposure to acidic environments, laying the groundwork for further research in this critical area. In the experimental phase, a commercial hydraulic lime-based mortar was subjected to varying environmental conditions, including acidic solution immersion with a pH of 3.0, distilled water immersion, and dry storage. Subsequently, the specimens were tested under flexure following exposure durations of 1000, 3000, and 5000 h. In the modeling phase, the extreme gradient boosting (XGBoost) algorithm was deployed to predict the mechanical properties of the lime-based mortar by 1000, 3000, and 5000 h of exposure. Using the experimental data, the machine learning models were trained to capture the complex relationships between the stress-displacement curve (as the output) and various environmental and mechanical properties, including density, corrosion, moisture, and exposure duration (as input features). The predictive models demonstrated remarkable accuracy and generalization (using a 4-fold cross-validation approach) capabilities (R2 = 0.984 and RMSE = 0.116, for testing dataset), offering a reliable tool for estimating the mortar\u2019s behavior over extended periods in an acidic environment. The comparative analysis demonstrated that mortar samples exposed to an acidic environment reached peak values at 3000 h of exposure, followed by a decrease in the mechanical properties with prolonged acidic exposure. In contrast, specimens exposed to distilled water and dry conditions exhibited an earlier onset of strength increase, indicating different material responses under varying environmental conditions.<\/jats:p>","DOI":"10.3390\/buildings15030408","type":"journal-article","created":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T06:47:29Z","timestamp":1738046849000},"page":"408","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Integrating Experimental Analysis and Gradient Boosting for the Durability Assessment of Lime-Based Mortar in Acidic Environment"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7678-1702","authenticated-orcid":false,"given":"Ali","family":"Taheri","sequence":"first","affiliation":[{"name":"Department of Civil and Environmental Engineering, College of Engineering, Florida State University, 2525 Pottsdamer Street, Tallahassee, FL 32310, USA"}]},{"given":"Nima","family":"Azimi","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Advanced Production and Intelligent Systems (ARISE), Institute for Sustainability and Innovation in Structural Engineering (ISISE), University of Minho, 4800-058 Guimar\u00e3es, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8547-3805","authenticated-orcid":false,"given":"Daniel V.","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Advanced Production and Intelligent Systems (ARISE), Institute for Sustainability and Innovation in Structural Engineering (ISISE), University of Minho, 4800-058 Guimar\u00e3es, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6824-5221","authenticated-orcid":false,"given":"Joaquim","family":"Tinoco","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Advanced Production and Intelligent Systems (ARISE), Institute for Sustainability and Innovation in Structural Engineering (ISISE), University of Minho, 4800-058 Guimar\u00e3es, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8459-0199","authenticated-orcid":false,"given":"Paulo B.","family":"Louren\u00e7o","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Advanced Production and Intelligent Systems (ARISE), Institute for Sustainability and Innovation in Structural Engineering (ISISE), University of Minho, 4800-058 Guimar\u00e3es, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.conbuildmat.2018.10.118","article-title":"Enhancement of brick-mortar shear bond strength using environmental friendly mortars","volume":"195","author":"Resketi","year":"2019","journal-title":"Constr. Build. Mater."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Alecci, V., De Stefano, M., Focacci, F., Luciano, R., Rovero, L., and Stipo, G. (2017). Strengthening masonry arches with lime-based mortar composite. Buildings, 7.","DOI":"10.3390\/buildings7020049"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Costa, A., Ar\u00eade, A., and Varum, H. (2018). Cultural Heritage Monuments and Historical Buildings: Conservation Works and Structural Retrofitting. Strengthening and Retrofitting of Existing Structures. Building Pathology and Rehabilitation, Springer.","DOI":"10.1007\/978-981-10-5858-5"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Ferreira, T.M., Mendes, N., Silva, R., and Louren\u00e7o, P.B. (2021). Nondestructive testing, assessment, and strengthening for reducing the seismic vulnerability of masonry structures. Masonry Construction in Active Seismic Regions, Elsevier.","DOI":"10.1016\/B978-0-12-821087-1.00008-9"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"132185","DOI":"10.1016\/j.conbuildmat.2023.132185","article-title":"Tensile behavior of textile-reinforced mortar: Influence of test setup and layer arrangement","volume":"394","author":"Azimi","year":"2023","journal-title":"Constr. Build. Mater."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"91","DOI":"10.4028\/p-m6x658","article-title":"Tensile behavior of textile-reinforced mortar: Influence of the number of layers and their arrangement","volume":"916","author":"Azimi","year":"2022","journal-title":"Key Eng. Mater."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1016\/j.engstruct.2017.01.035","article-title":"Seismic vulnerability assessment of a monumental masonry building","volume":"136","author":"Castori","year":"2017","journal-title":"Eng. Struct."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"137142","DOI":"10.1016\/j.conbuildmat.2024.137142","article-title":"Effect of Acidic Environment Exposure on Mechanical Properties of Trm Composites","volume":"438","author":"Azimi","year":"2024","journal-title":"Constr. Build. Mater."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Kohan, L., Azimi, N., de Aguiar Souza, I., Fioroni, C., Azevedo, A.G.S., Freitas, T.O.G., Peixoto, J.J., Ferreira, D.S.P., Oliveira, D.V., and Baruque-Ramos, J. (2024). Coated sisal\/PET hybrid braided textiles interface behavior into cementitious matrix. Compos. Interfaces, 1\u201325.","DOI":"10.1080\/09276440.2024.2429361"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1016\/j.conbuildmat.2012.09.050","article-title":"Fibre-reinforced lime-based mortars: A possible resource for ancient masonry restoration","volume":"38","author":"Iucolano","year":"2013","journal-title":"Constr. Build. Mater."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1883","DOI":"10.1016\/S0008-8846(02)00887-6","article-title":"Pore structure in mortars applied on restoration: Effect on properties relevant to decay of granite buildings","volume":"32","author":"Mosquera","year":"2002","journal-title":"Cem. Concr. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"e169","DOI":"10.1590\/1679-78255387","article-title":"Behaviour of hollow circular section with multiple perforations under compression, flexure and torsion","volume":"16","author":"Peen","year":"2019","journal-title":"Lat. Am. J. Solids Struct."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1016\/S0950-0618(02)00005-3","article-title":"Advanced Byzantine cement based composites resisting earthquake stresses: The crushed brick\/lime mortars of Justinian\u2019s Hagia Sophia","volume":"16","author":"Moropoulou","year":"2002","journal-title":"Constr. Build. Mater."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1007\/BF02472148","article-title":"Mortars for restoration: Basic requirements and quality control","volume":"19","year":"1986","journal-title":"Mater. Struct."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"5014","DOI":"10.1051\/matecconf\/202440305014","article-title":"Effect of Alkaline Environment on the Bond Behavior of TRM Composites Through Single-lap Shear Tests","volume":"403","author":"Azimi","year":"2024","journal-title":"MATEC Web Conf. EDP Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1111\/j.1151-2916.2000.tb01332.x","article-title":"Aging of lime putty: Effects on traditional lime mortar carbonation","volume":"83","author":"Cazalla","year":"2000","journal-title":"J. Am. Ceram. Soc."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Ramesh, M., Parente, M., Azenha, M., and Louren\u00e7o, P.B. (2023). Influence of Lime on Strength of Structural Unreinforced Masonry: Toward Improved Sustainability in Masonry Mortars. Sustainability, 15.","DOI":"10.3390\/su152115320"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"951","DOI":"10.1016\/j.cemconres.2005.10.004","article-title":"Mechanical properties of masonry repair dolomitic lime-based mortars","volume":"36","author":"Lanas","year":"2006","journal-title":"Cem. Concr. Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1016\/j.conbuildmat.2019.06.080","article-title":"Study on weathering mechanism of masonry bricks of ancient temples in Shanxi province using Dingxiang Hongfu temple masonry brick","volume":"222","author":"Fan","year":"2019","journal-title":"Constr. Build. Mater."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.conbuildmat.2012.07.086","article-title":"Effect of salt crystallisation on the shear behaviour of masonry walls: An experimental study","volume":"37","author":"Gentilini","year":"2012","journal-title":"Constr. Build. Mater."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3097","DOI":"10.1007\/s12205-021-1716-z","article-title":"Monitoring the Deterioration of Masonry Relics at a UNESCO World Heritage Site","volume":"25","author":"Wu","year":"2021","journal-title":"KSCE J. Civ. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Taheri, A., and Sobanjo, J. (2024). Civil Integrated Management (CIM) for Advanced Level Applications to Transportation Infrastructure: A State-of-the-Art Review. Infrastructures, 9.","DOI":"10.3390\/infrastructures9060090"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1016\/j.envpol.2005.12.052","article-title":"Effect of acid rain on building material of the El Taj\u00edn archaeological zone in Veracruz, Mexico","volume":"144","author":"Bravo","year":"2006","journal-title":"Environ. Pollut."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Zheng, S., Niu, L., Pei, P., and Dong, J. (2019). Mechanical behavior of brick masonry in an acidic atmospheric environment. Materials, 12.","DOI":"10.3390\/ma12172694"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1617\/s11527-022-02052-1","article-title":"RILEM TC 277-LHS report: Lime-based mortars for restoration\u2014A review on long-term durability aspects and experience from practice","volume":"55","author":"Groot","year":"2022","journal-title":"Mater. Struct."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1016\/j.cemconres.2005.12.003","article-title":"Study of the mechanical behavior of masonry repair lime-based mortars cured and exposed under different conditions","volume":"36","author":"Lanas","year":"2006","journal-title":"Cem. Concr. Res."},{"key":"ref_27","first-page":"257","article-title":"Effects of sulfuric acid attack on hydrated calcined clay\u2013limestone cement mortars","volume":"10","author":"Marangu","year":"2021","journal-title":"J. Sustain. Cem. Based Mater."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"132203","DOI":"10.1016\/j.conbuildmat.2023.132203","article-title":"Evaluation and characteristic analysis of compressive strength and resistivity of EG cement conductive mortar based upon hybrid-BP neural network","volume":"394","author":"Wang","year":"2023","journal-title":"Constr. Build. Mater."},{"key":"ref_29","first-page":"e02153","article-title":"Effect of inclusion of natural pozzolan and silica fume in cement\u2014Based mortars on the compressive strength utilizing artificial neural networks and support vector machine","volume":"18","author":"Dahish","year":"2023","journal-title":"Case Stud. Constr. Mater."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"127490","DOI":"10.1016\/j.conbuildmat.2022.127490","article-title":"Comparison of different machine learning methods for estimating compressive strength of mortars","volume":"335","author":"Demirhan","year":"2022","journal-title":"Constr. Build. Mater."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"105146","DOI":"10.1016\/j.jobe.2022.105146","article-title":"Prediction of chloride resistance level of concrete using machine learning for durability and service life assessment of building structures","volume":"60","author":"Taffese","year":"2022","journal-title":"J. Build. Eng."},{"key":"ref_32","first-page":"e02901","article-title":"Estimating compressive strength of concrete containing rice husk ash using interpretable machine learning-based models","volume":"20","author":"Alyami","year":"2024","journal-title":"Case Stud. Constr. Mater."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1268","DOI":"10.1016\/j.istruc.2023.03.109","article-title":"Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls","volume":"51","author":"Cakiroglu","year":"2023","journal-title":"Structures"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"107177","DOI":"10.1016\/j.engappai.2023.107177","article-title":"Predicting concrete strength through packing density using machine learning models","volume":"126","author":"Pallapothu","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"141947","DOI":"10.1016\/j.jclepro.2024.141947","article-title":"Data driven multi-objective design for low-carbon self-compacting concrete considering durability","volume":"450","author":"Cheng","year":"2024","journal-title":"J. Clean. Prod."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"126592","DOI":"10.1016\/j.conbuildmat.2022.126592","article-title":"Machine learning-based compressive strength modelling of concrete incorporating waste marble powder","volume":"324","author":"Shamsabadi","year":"2022","journal-title":"Constr. Build. Mater."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"012029","DOI":"10.1088\/1755-1315\/612\/1\/012029","article-title":"An Artificial intelligence approach for predicting compressive strength of eco-friendly concrete containing waste tire rubber","volume":"612","author":"Dat","year":"2020","journal-title":"IOP Conf. Ser. Earth Environ. Sci."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"134281","DOI":"10.1016\/j.conbuildmat.2023.134281","article-title":"Assessment of mechanical properties with machine learning modeling and durability, and microstructural characteristics of a biochar-cement mortar composite","volume":"411","author":"Sobuz","year":"2024","journal-title":"Constr. Build. Mater."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"108600","DOI":"10.1016\/j.mtcomm.2024.108600","article-title":"Application of machine learning boosting and bagging methods to predict compressive and flexural strength of marble cement mortar","volume":"39","author":"Chen","year":"2024","journal-title":"Mater. Today Commun."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"100231","DOI":"10.1016\/j.clema.2024.100231","article-title":"Supervised data-driven approach to predict split tensile and flexural strength of concrete with marble waste powder","volume":"11","author":"Ravikanth","year":"2024","journal-title":"Clean. Mater."},{"key":"ref_41","first-page":"e03060","article-title":"Experimental studies and symbolic machine learning aided prediction model of the mechanical properties of recycled waste slurry micropowder mortar","volume":"20","author":"Fei","year":"2024","journal-title":"Case Stud. Constr. Mater."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Cakiroglu, C. (2023). Explainable Data-Driven Ensemble Learning Models for the Mechanical Properties Prediction of Concrete Confined by Aramid Fiber-Reinforced Polymer Wraps Using Generative Adversarial Networks. Appl. Sci., 13.","DOI":"10.3390\/app132111991"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"105720","DOI":"10.1016\/j.istruc.2023.105720","article-title":"Exploring elastic properties of fly ash recycled aggregate concrete: Insights from multiscale modeling and machine learning","volume":"59","author":"Hosseinzadeh","year":"2024","journal-title":"Structures"},{"key":"ref_44","unstructured":"(2019). Methods of Test for Mortar for Masonry. Determination of Flexural and Compressive Strength of Hardened Mortar (Standard No. B.E. 1015-11)."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2402","DOI":"10.1001\/jama.2016.17216","article-title":"Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs","volume":"316","author":"Gulshan","year":"2016","journal-title":"JAMA"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Chen, T., and Guestrin, C. (2016, January 13\u201317). XGBoost: A Scalable Tree Boosting System. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA.","DOI":"10.1145\/2939672.2939785"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Taheri, A., and Sobanjo, J. (2024). Ensemble Learning Approach for Developing Performance Models of Flexible Pavement. Infrastructures, 9.","DOI":"10.2139\/ssrn.4718502"},{"key":"ref_48","unstructured":"Lundberg, S., and Lee, S.-I. (2017). A Unified Approach to Interpreting Model Predictions. arXiv."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1914","DOI":"10.1016\/j.mspro.2014.06.309","article-title":"The Effect of Short Metallic and Polymeric Fiber on the Fracture Behavior of Cement Mortar","volume":"3","author":"Campello","year":"2014","journal-title":"Procedia Mater. Sci."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"104781","DOI":"10.1016\/j.jobe.2022.104781","article-title":"Effect of CO32- and Ca2+ on self-healing of cementitious materials due to \u201cbuild-in\u201d carbonation","volume":"56","author":"Li","year":"2022","journal-title":"J. Build. Eng."}],"container-title":["Buildings"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2075-5309\/15\/3\/408\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T10:37:32Z","timestamp":1759919852000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2075-5309\/15\/3\/408"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,28]]},"references-count":50,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025,2]]}},"alternative-id":["buildings15030408"],"URL":"https:\/\/doi.org\/10.3390\/buildings15030408","relation":{},"ISSN":["2075-5309"],"issn-type":[{"value":"2075-5309","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,28]]}}}