Selection of lime-based repair mortars for heritage structures using MCDM techniques: a comprehensive study

The study examined use of lime-based mortars for repair of heritage structures. The twelve criteria considered for the study were compressive strength, transverse strength, salt crystallisation resistance cycles, shrinkage, alkali resistance, water absorption, porosity, capillary absorption, energy consumption, total emission, environmental load, and bulk density. Two types of hydrated limes (Lime-I and Lime-II) with replacements of ground granulated blast furnace slag (GGBS) or fly ash from 0 to 75% were used for the preparation of lime-based mortars with binder to aggregate weight proportions of 1 : 3 and 1 : 1. Experimental data was collected based on the criteria and the analytical hierarchy process (AHP) was used to establish their weightages. Multi-criteria decision making (MCDM) analysis was performed using technique for order performance by similarity to ideal solution (TOPSIS), PROMETHEE-II, VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and elimination and choice expressing reality (ELECTRE) methods. The results of the analysis showed that Lime-II based 1 : 1 mortar with 66% replacement of lime with GGBS was the most promising lime-based mortar for repair of heritage structures.

Authors

Institutions

Publication Details

Journal
International Journal of Computational Materials Science and Surface Engineering
Published
2025-01-01
DOI
https://doi.org/10.1504/ijcmsse.2025.146305
Primary Topic
Building materials and conservation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Selection of lime-based repair mortars for heritage structures using MCDM techniques: a comprehensive study

Rathish Kumar Pancharathi, Nikhil Kumar Degloorkar
International Journal of Computational Materials Science and Surface Engineering
Building materials and conservation
article

Selection of lime-based repair mortars for heritage structures using MCDM techniques: a comprehensive study

Rathish Kumar Pancharathi, Nikhil Kumar Degloorkar
article en

Abstract

The study examined use of lime-based mortars for repair of heritage structures. The twelve criteria considered for the study were compressive strength, transverse strength, salt crystallisation resistance cycles, shrinkage, alkali resistance, water absorption, porosity, capillary absorption, energy consumption, total emission, environmental load, and bulk density. Two types of hydrated limes (Lime-I and Lime-II) with replacements of ground granulated blast furnace slag (GGBS) or fly ash from 0 to 75% were used for the preparation of lime-based mortars with binder to aggregate weight proportions of 1 : 3 and 1 : 1. Experimental data was collected based on the criteria and the analytical hierarchy process (AHP) was used to establish their weightages. Multi-criteria decision making (MCDM) analysis was performed using technique for order performance by similarity to ideal solution (TOPSIS), PROMETHEE-II, VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and elimination and choice expressing reality (ELECTRE) methods. The results of the analysis showed that Lime-II based 1 : 1 mortar with 66% replacement of lime with GGBS was the most promising lime-based mortar for repair of heritage structures.

International Journal of Computational Materials Science and Surface EngineeringVol. 12(2)
National Institute of Technology Warangal (IN), GITAM University (IN)
Sustainable cities and communities
Openalex Percentile: Top 87%
Building materials and conservation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.