Inicio [Home] Investigación [Research] Docencia [Academic]


The Nondestructive Evaluation Laboratory (END, Evaluacion No Destructiva), has served results in ultrasonics for advanced materials health prognosis and medical diagnosis since 2004.

We share the aspiration of discovering fascinating phenomena in the intersecting fields of mechanics-physics-computation-materials engineering, understanding the laws behind these, and applying this knowledge to create unique concepts and technology that serve our community by innovating and entrepreneuring.

Knowing is not enough, we must apply. Willing is not enough, we must do. [Goethe]


Testing endocavitary sensor prototype

Tissue ultrasound elastography

This is an example of how Engineering can help the Medical Science: understanding and using the mechanics of tissue remains an opportunity, as it is much less studied than its biochemistry or histology. Ultrasound is a mechanical wave whose interaction with tissue embraces many secrets.

Preterm birth is the leading cause of infant mortality (impact: 400.000 preterm births in US, 14M worldwide, yearly). To solve it, we propose the assess changes in the microarchitecture and stiffness of the cervix to anticipate preterm birth. Our innovations include a torsion ultrasound based probe and the prognosis algorithms, since tissue mechanics is still a largely unstudied property.

US to bone quality

Osteoporosis is a growing disease responsible for the risk of fracture (impact: 50% of women above 50, 2M women in Spain). We are currently working both on the theoretical relationship between microcracks in bone and their effect on ultrasonic nonlinearity for use as diagnostic tool, as well as on the applied development of medical diagnostic devices and clinical test.

CFRP fatigue monitoring at Airbus

Ultrasonic nondestructive evaluation

Ultrasound is a mechanical wave, and therefore ideal for interacting with mechanical properties and interrogate the mechanical functionality of materials and structures. We propose to change the paradigm from pathology identification from linear scattering to reconstruction from nonlinear ultrasonics.

Model-based US-based monitoring techniques are being developed to answer such structural uncertainties, providing reliability, safety and quality to innovative structural concepts. Nonlinear material constitutive laws appear to be strongly related to early mechanical degradation, enabling valuable fatigue prognosis.


Probabilistic inverse problems

We are rethinking the inverse problems away from deterministic model-fitting but towards probabilistic predictive inference.

Information theory and computational bayesian probability allow to not only reconstruct the mechanical properties but their reliability.

A generalization of the theory allows to interrogate model hypothesis plausibility. This is being practically applied to prototype biorreactors and ultrasonic sensors and actuators, on one side, and to optimize the sensor positioning.


Capabilities of equipment

Ultrasound power:1 mW - 150 W
Ultrasound frequency: 20 kHz - 100 MHz
Digitalization rate: 0 Hz - 0.5 GHz
Digitalization depth: 8 - 14 bits
Digitalization buffer:0 - 8 Mb
3D Scanning precision: 0.02 mm - 1000 mm, 2 immersion scanners
Prototyping capabilities: custom designed transducers, biocompatible 3D printing
Ultrasound systems: 3 portable, 6 lab-scale
Computing power: 40 TFlops shared, 137 GFlops owned


  1. N. Bochud, Signal procesing-based identification of pathology using ultrasonics, PhD 2014.
  2. A. Callejas, Experimental configuracion to determine the real Beta..., MSc 2014.
  3. S. Cantero, A novel blind parametrization algorithm for damage detection ..., MSc 2014.
  4. J. M. Lopez, Mitigación de la fisuración por viento en células fotovoltaicas..., MSc 2014.
  5. J. Rodriguez, Reliability-based design optimization of carbon-fiber..., MSc 2013.
  6. J. M. Melchor, Piezoelectric transducer design optimization, MSc 2012.
  7. J. Gomez, Caracterizacion mecanica de semiespacios multicapa..., MSc 2012.
  8. J. Luna, Diseño de algoritmos de calculo de retardo de ondas ultrasonicas..., MSc 2012.
  9. L. M. Peralta, Mechanical characterization of cervical tissue, MSc 2012.
  10. M. Chiachio, Fatigue prognosis in composites: a Bayesian framework, MSc 2011.
  11. J. Chiachio, Inverse problem of predicting stochastic fatigue damage..., MSc 2011.
  12. L. Marin, Optimizacion de paneles rigidizados de materiales compuestos..., MSc 2011.
  13. L. Matas, Aproximación analítica de frecuencias de flexión libres de losas..., MSc 2011.
  14. N. Bochud, Signal processing methods for nondestructive evaluation..., MSc 2010.
  15. P. Alba, Moving load bridge monitoring by optimum filtering, MSc 2010.
  16. S. Mansilla, Pavimentos desmontables en calzadas y aceras urbanas, MSc 2010.
  17. A. Fahim, Model-based damage reconstruction in composites from ultrasound, MSc 2009.
  18. J. Gomez, Estudio, diseño y construcción de dispositivo cámara incubadora..., PFG 2014.
  19. M. Arcoya, Estudio, diseño y construcción de dispositivo biorreactor..., PFG 2014.
  20. J. J. Roman, Evaluación de propiedades mecánicas mediante ultrasonidos..., PFC 2014.
  21. A. Sanchez, Optimizacion conjunta material-estructura ... fibra de carbono, PFC 2012.
  22. A. Mendoza, Analisis de la ordenacion del territorio de los cordones litorales..., PFC 2011.
  23. L. Jalon, Evaluacion del impacto y funcionalidad ambiental del cordon litoral..., PFC 2011.
  24. J. D. Jimenez, Puente autotensado de materiales avanzados sobre el río Genil, PFC 2010. (Please cite the associated papers if used)


END Lab        Grupo de Mecánica de Sólidos y Estructuras    Departamento de Mecánica de Estructuras e Ingeniería Hidráulica

Funding bodies

Ministerio de Educación y Ciencia    Ministerio de Industria, Comercio y Turismo    Fundación Fulbright    Svenska Institutet

Junta de Andalucía    Generalitat Valenciana    European Union    Hanyang University    Universidad de Granada