Publicacións

@article{chacon_p2pe_2024,

title = {P2PE: A finite element formulation for panel-to-panel cross-laminated timber connections},

author = {Matías F. Chacón and Pablo Guindos-Bretones},

url = {https://www.sciencedirect.com/science/article/pii/S0045794924001330},

doi = {10.1016/j.compstruc.2024.107404},

issn = {0045-7949},

year  = {2024},

date = {2024-08-01},

urldate = {2026-04-21},

journal = {Computers & Structures},

volume = {300},

pages = {107404},

abstract = {This paper presents a new multi-spring finite element formulation called P2PE that simulates the cyclic behavior of panel-to-panel Cross-Laminated Timber (CLT) connections. The formulation comprises five types of uncoupled linear/nonlinear springs representing the fasteners and contact between panels. For instance, the in-plane fastener behavior is simulated with a co-rotational spring and the Modified Richard–Abbott (MRA) model, which is adapted to account for the asymmetry, pinching, degradation, and low-cycle fatigue of timber connections. The model was implemented into ANSYS through user-element/materials, including all computer implementation steps, and can be freely downloaded. The model's response and sensitivity were studied in three demonstrative CLT diaphragms, and it was validated at the connection and assembly stage with benchmark tests. In the first stage, the fastener model was verified with four cyclic CLT connections, while in the second stage, the model was validated with three medium-to-large scale CLT assemblies. The model accurately predicts the stiffness, strength, deformation, slip, and failure mechanisms of both stages. Finally, a parametric analysis of in-plane bending CLT diaphragms was assessed by varying their panel dimensions. This analysis demonstrated that diaphragms with slender panels have larger capacities, fastener energy dissipation, and shear slips but lower ductilities than shorter ones.},

keywords = {CLT diaphragms, Cross-laminated timber, Hysteretic timber models, Nonlinear finite element model, Panel-to-panel CLT connection, Parametric analysis},

pubstate = {published},

tppubtype = {article}

}

@article{rojo-lopez_genetic_2024,

title = {Genetic programming to understand the influence of new sustainable powder materials in the fresh performance of cement pastes},

author = {Gemma Rojo-López and Belén González-Fonteboa and Juan Luis Pérez-Ordóñez and Fernando Martínez-Abella},

url = {https://www.sciencedirect.com/science/article/pii/S235271022400754X},

doi = {10.1016/j.jobe.2024.109186},

issn = {2352-7102},

year  = {2024},

date = {2024-07-01},

urldate = {2024-07-01},

journal = {Journal of Building Engineering},

volume = {88},

pages = {109186},

abstract = {This study focused on pastes that incorporate metakaolin, biomass ash, and granite powder as supplementary cementitious materials to obtain specific expressions to predict rheological properties in pastes and to define the most appropriate dosage parameters using genetic programming. For this purpose, a dataset was developed following a central composite design, and some fresh properties were measured: Marsh cone and rheological properties, such as yield stress and plastic viscosity. The models generated by genetic programming presented robust statistical indices for the properties studied. The influence of supplementary cementitious materials on rheological properties was also analysed through a parametric analysis. After analysing the factors affecting paste rheology, it was concluded that the most important aspects affecting fresh behaviour were water demand and particle interaction, as well as the relation between both effects.},

keywords = {Artificial intelligence, Biomass ash, Granite powder, Metakaolin, Parametric analysis},

pubstate = {published},

tppubtype = {article}

}

@article{Rojo-López2024,

title = {Genetic programming to understand the influence of new sustainable powder materials in the fresh performance of cement pastes},

author = {Gemma Rojo-López and Belén González-Fonteboa and Juan Luis Pérez-Ordóñez and Fernando Martínez-Abella},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189693470&doi=10.1016%2fj.jobe.2024.109186&partnerID=40&md5=82b0d972a8049ef5dccd64581bae8dd4},

doi = {10.1016/j.jobe.2024.109186},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {Journal of Building Engineering},

volume = {88},

abstract = {This study focused on pastes that incorporate metakaolin, biomass ash, and granite powder as supplementary cementitious materials to obtain specific expressions to predict rheological properties in pastes and to define the most appropriate dosage parameters using genetic programming. For this purpose, a dataset was developed following a central composite design, and some fresh properties were measured: Marsh cone and rheological properties, such as yield stress and plastic viscosity. The models generated by genetic programming presented robust statistical indices for the properties studied. The influence of supplementary cementitious materials on rheological properties was also analysed through a parametric analysis. After analysing the factors affecting paste rheology, it was concluded that the most important aspects affecting fresh behaviour were water demand and particle interaction, as well as the relation between both effects. © 2024 The Author(s)},

note = {Cited by: 0; All Open Access, Green Open Access, Hybrid Gold Open Access},

keywords = {Biomass ashes, Cement paste, Cements, Fresh performance, Genetic algorithms, Genetic programming, Granite, Granite powder, Metakaolins, Parametric analysis, Performance of cement, Powder material, Rheological property, Rheology, Supplementary cementitious material, Yield stress},

pubstate = {published},

tppubtype = {article}

}