@inproceedings{bib_DATA_2025, AUTHOR = {Singh, Aditi and Deshmukh, Manas Sachin and George, Jofin }, TITLE = {DATA-DRIVEN GEOMETRY OPTIMIZATION OF A FUNICULAR ARCH}, BOOKTITLE = {Symposium on One Health, One World}. YEAR = {2025}}

Abstract The stability of funicularstructuralformssuchasarches, vaults, and domes hasbeen a subject of fascinationinarchitectureengineeringefficientdueandtotheirstructuralperformance and aesthetics. Inthis context, methodologiesand procedures which drivetowards a reduction in carbonfootprint gain significance astheconstruction industry isresponsible for around 50% ofthe total carbon footprintglobally. A novel approach ispresentedtoidentifytheoptimal structural geometry ofan arch considering all criticalloadingscenarios.Akinematic framework basedon principles of limit analysisisutilised to identify thepossible collapse scenarios ofthearch.Keygeometricparameters such as span,riseto-span ratio, and thicknessare varied based on aMonteCarlo simulation to achievestructurally stable forms. ThedevelopedkinematicframeworkistrainedonMachineLearning (ML)models to predict the collapsecapacity. Based on this, anML-enabledoptimizationscheme is applied to thearches considering the criticalloading scenarios. Beyond itspracticalrelevance,theresearch revisits fundamentalquestionsaboutstructuralform, offering a thoughtfulintegration of mathematicalreasoning with architecturaland engineering practice.

@inproceedings{bib_Eval_2025, AUTHOR = {George, Jofin and Kumar, Kanukuntla Raj }, TITLE = {Evaluating the Dual Impact of Settlement and Seismic Loads on Masonry Arch Bridges: A Kinematic Approach}, BOOKTITLE = {International Conference on Structural Analysis of Historical Constructions}. YEAR = {2025}}

Masonry arch bridges, which essentially form a significant part of our historic infrastructure, are constantly challenged by independent and a combination of hazard scenarios. Even though studies have quantified the behaviour of arch bridges subjected to independent structural demands, very few studies have considered the performance of these structures considering multiple structural demands. In this context, an analytical procedure is developed for masonry arches considering the interaction of support settlement and horizontal seismic forces. The adopted analysis procedure based on kinematic analysis utilizes an iterative algorithm to quantify the collapse of the arch. Linear and nonlinear kinematic frameworks are formulated to evaluate the bridge performance under the compound structural demands, which is validated against a numerical model. The proposed method provided key insights into the interaction between the collapse mechanisms initiated by support translation and seismic demand and their effect on the arch capacity. Keywords: limit analysis, seismic collapse factor, settlement, failure mechanism, masonry arch, multi-hazard

@inproceedings{bib_COMP_2024, AUTHOR = {Kumar, Kanukuntla Raj and George, Jofin }, TITLE = {COMPUTATIONAL FRAMEWORK FOR FAILURE ANALYSIS OF FUNICULAR STRUCTURES}, BOOKTITLE = {STRUCTURAL ENGINEERING CONVENTION}. YEAR = {2024}}

Funicular geometries, which are compression governing structural systems, are a significant part of our architectural heritage. To ensure the safety and serviceability of these historical infrastructures, where arches, vaults and domes are integral components, it is essential to have a comprehensive understanding of the structural behaviour of these geometries. Unlike conventional structural systems, the failure of funicular geometries is governed by the system equilibrium and geometric instability rather than strength exceedance. Further, the collapse behaviour of these structures is usually quantified either using simplified two dimensional analytical approaches, which might not be representative, or using complex numerical models, which might be computationally expensive. To address this, a novel analytical approach is proposed, leveraging structural geometry and system equilibrium to quantify the collapse behaviour of funicular structures.