Skip to main content

Environmental and Dynamic Remote Monitoring of Historical Adobe Buildings: The Case Study of the Andahuaylillas Church in Cusco, Peru

  • Conference paper
Structural Analysis of Historical Constructions

Part of the book series: RILEM Bookseries ((RILEM,volume 18))

Abstract

Constant survey of historical constructions is very important to ensure their conservation. In the case of ancient buildings, their use, the materials aging, vibrations, environmental effects (temperature, rain, snow) and seismic events are all possible causes of deterioration and damage. A continuous Structural Health Monitoring can provide useful information for automated condition evaluations of the health-state of historic buildings; however, it is known that the effects of environmental conditions such as the variation of temperature and humidity can make this assessment difficult. Therefore, continuous monitoring of environmental conditions and dynamic parameters is needed to develop suitable models to assess the current health-state. Additionally, historical structures could be located in a place where the harsh local conditions (viability, electricity, internet connection, etc.) or the distance from the inhabited centers can make monitoring activities challenging. This paper reports an innovative dynamic and environmental remote monitoring system implemented on the historical adobe church of San Pedro of Andahuaylillas, built in the sixteenth century, suitable example of Andean historical earthen constructions, strategically located on an Inca road system, 60 km south of Cusco. Firstly, the monitoring methodology is discussed, and subsequently, the case study is presented. The data is recorded locally and is automatically sent to Lima (1200 km away from Cusco) where the dynamic data is automatically processed to identify the modal parameters of the church. Preliminary results of a 6-month monitoring campaign is finally shown.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 509.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 649.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ramos LF, Aguilar R, Lourenço PB, Moreira S (2013) Dynamic structural health monitoring of Saint Torcato church. Mech Syst Signal Process 35(1):1–15

    Article  Google Scholar 

  2. Lorenzoni F, Casarin F, Caldon M, Islami K, Modena C (2016) Uncertainty quantification in structural health monitoring: applications on cultural heritage buildings. Mech Syst Signal Process 66:268–281

    Article  Google Scholar 

  3. Ubertini F, Comanducci G, Cavalagli N, Pisello AL, Materazzi AL, Cotana F (2017) Environmental effects on natural frequencies of the San Pietro bell tower in Perugia, Italy, and their removal for structural performance assessment. Mech Syst Signal Process 82:307–322

    Article  Google Scholar 

  4. Yan AM, Kerschen G, De Boe P, Golinval JC (2005) Structural damage diagnosis under varying environmental conditions—part I: a linear analysis. Mech Syst Signal Process 19(4):847–864

    Article  Google Scholar 

  5. KINEMETRICS (2017) EpiSensor ES-U2 uniaxial episensor accelerometer. https://kinemetrics.com/

  6. KINEMETRICS (2017) Obsidian 8x Multichannel Seismic Recorder. https://kinemetrics.com/

  7. ONSET (2017) HOBO RX3000 Remote Monitoring Station Data Logger. http://www.onsetcomp.com

  8. ONSET (2017) S-THB-M008 Temperature/Relative Humidity Smart Sensor. http://www.onsetcomp.com

  9. ONSET. (2017). HOBO UX100-011 Data Logger. http://www.onsetcomp.com

  10. Peeters B, De Roeck G (1999) Reference-based stochastic subspace identification for output-only modal analysis. Mech Syst Signal Process 13(6):855–878

    Article  Google Scholar 

  11. Boroschek R, Bilbao J (2015) Evaluation of an automatic selection methodology of model parameters from stability diagrams on a damage building. In: Dynamics of civil structures, vol 2, pp 545–552. Springer, Cham

    Google Scholar 

  12. Magalhaes F, Cunha A, Caetano E (2009) Online automatic identification of the modal parameters of a long span arch bridge. Mech Syst Signal Process 23(2):316–329

    Article  Google Scholar 

  13. Zonno G, Aguilar R, Castañeda B, Boroschek R, Lourenço PB (2017) Laboratory evaluation of a fully automatic modal identification algorithm using automatic hierarchical clustering approach. Procedia Eng 199:882–887

    Article  Google Scholar 

  14. Cabboi A, Magalhães F, Gentile C, Cunha Á (2017) Automated modal identification and tracking: application to an iron arch bridge. Struct Control Health Monit 24(1)

    Google Scholar 

  15. Marques R, Ivancic S, Briceño C, Aguilar R, Perucchio R, Vargas J (2014) Study on the seismic behaviour of St. Peter the Apostle Church of Andahuaylillas in Cusco, Peru. In: 9IMC-9th international masonry conference, Guimarães, Portugal

    Google Scholar 

  16. Ivancic SR, Briceno C, Marques R, Aguilar R, Perucchio R, Vargas J (2014) Seismic assessment of the St. Peter Apostle Church of Andahuaylillas in Cusco, Peru. In: SAHC2014–9th international conference on structural analysis of historical constructions, Mexico City

    Google Scholar 

Download references

Acknowledgments

The present work was developed thanks to the funding provided by the program Cienciactiva-CONCYTEC in the framework of the Contract N ° 222-2015-FONDECYT. Complementary funding was also received from the Pontificia Universidad Católica del Perú PUCP and its funding office DGI-PUCP (project 349-2016). The authors would like to acknowledge the Society of Jesus and, particularly, Father Carlos Silva for the help and complete availability in this research work. The first author also acknowledges ELARCH program for the scholarship in support of his PhD studies (Project Reference number: 552129-EM-1-2014-1-IT-ERA MUNDUS-EMA21).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rafael Aguilar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 RILEM

About this paper

Cite this paper

Zonno, G., Aguilar, R., Castañeda, B., Boroschek, R., Lourenço, P.B. (2019). Environmental and Dynamic Remote Monitoring of Historical Adobe Buildings: The Case Study of the Andahuaylillas Church in Cusco, Peru. In: Aguilar, R., Torrealva, D., Moreira, S., Pando, M.A., Ramos, L.F. (eds) Structural Analysis of Historical Constructions. RILEM Bookseries, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-319-99441-3_238

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-99441-3_238

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99440-6

  • Online ISBN: 978-3-319-99441-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics