Álvaro Blanca Hoyos

Dr. Álvaro Blanca Hoyos

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
30 November 2024 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Fernando ÁvilaFernando Ávila
Fernando Ávila
ÁHÁlvaro Blanca Hoyos
Álvaro Blanca Hoyos
MGMaría Esther Puertas García
María Esther Puertas García
RGRafael Gallego
Rafael Gallego
Historic building information modeling (HBIM) represents an emerging field that extends traditional building information modeling (BIM) to the preservation, management, and analysis of heritage structures. This paper provides a comprehensive overview of HBIM, tracing its evolution from its origins and early applications to its current state and future prospects. The processes of data collection and modeling are thoroughly examined, addressing levels of detail, digitization methods, and commonly used software and data formats. Attention is also given to existing BIM standards and protocols and their potential application to HBIM. The paper emphasizes the importance of appropriate data selection and management, both for geometrical and non-geometrical (historical and architectural) information. Furthermore, it explores the integration of HBIM with structural analysis tools, a subject of growing interest, particularly in light of its potential for integration with structural health monitoring systems and advanced computational models. The results of this review highlight the increasing role of HBIM in heritage preventive preservation and management, a topic that accounted for 40% of the articles on this subject in 2023. These findings demonstrate that HBIM offers significant potential for managing and preserving heritage buildings, but to fully realize its capabilities, advancements in data interoperability, standardized protocols, and real-time structural analysis are essential to make it a widely effective tool in conservation efforts.

3 November 2025 in Construction and Building Materials
Verified
Journal Article
Open access
Fernando ÁvilaFernando Ávila
Fernando Ávila
RCRicardo Castro
Ricardo Castro
ÁHÁlvaro Blanca Hoyos
Álvaro Blanca Hoyos
RGRafael Gallego
Rafael Gallego
MGMaría Esther Puertas García
María Esther Puertas García

2 June 2026 in Buildings
Verified
Journal Article
Open access
PDF file
ÁHÁlvaro Blanca Hoyos
Álvaro Blanca Hoyos
RCRicardo A. Castro
Ricardo A. Castro
RGRafael Gallego
Rafael Gallego
MGMaría Esther Puertas García
María Esther Puertas García
Rammed earth has long been recognised for its economic, environmental, and social advantages, and it is increasingly considered a sustainable alternative within the construction industry. Its primary benefit lies in the use of local soils, thereby minimising environmental impacts associated with material transport. At present, the assessment of soil suitability relies primarily on particle size distribution (PSD) envelopes or the maximum dry density achieved in compaction tests. Although the mechanical performance of unstabilised rammed earth (URE)—most notably its unconfined compressive strength (UCS)—depends heavily on soil clay content due to clay’s role as a natural binder, clay-rich soils are often excluded by existing criteria, despite reports of acceptable strength in such materials. In this study, URE specimens were prepared from a single local soil by systematically varying its clay fraction. The optimum moisture content (OMC) of all mixtures was determined, and all specimens were cured under controlled conditions for 28 days before being subjected to UCS testing. One-way ANOVA confirmed a statistically significant influence of clay content on UCS, and a logarithmic regression model was developed and benchmarked against published data. The results indicate that, under the controlled material and curing conditions investigated, the clay fraction can serve as a practical first-order indicator of compressive strength and related physical parameters in URE, although its predictive capacity must be interpreted together with mineralogy, moisture state, compaction conditions, and soil fabric.

13 September 2026
Verified
Book Chapter
Closed access
PDF file
Fernando ÁvilaFernando Ávila
Fernando Ávila
RCRicardo Castro
Ricardo Castro
ÁHÁlvaro Blanca Hoyos
Álvaro Blanca Hoyos
RGRafael Gallego
Rafael Gallego
MGMaría Esther Puertas García
María Esther Puertas García

18 January 2026 in Results in Engineering
Verified
Journal Article
Open access
MJMaría L. Jalón
María L. Jalón
JUAN CHIACHIOJUAN CHIACHIO
JUAN CHIACHIO
MSMajdi Al Shdifat
Majdi Al Shdifat
ÁHÁlvaro Blanca Hoyos
Álvaro Blanca Hoyos
MGMaría Esther Puertas García
María Esther Puertas García