@article{gill_peters_studer_2004, title={Genetic algorithm for the reconstruction of Bragg grating sensor strain profiles}, volume={15}, ISSN={["1361-6501"]}, DOI={10.1088/0957-0233/15/9/027}, abstractNote={This paper presents a genetic algorithm for the interrogation of optical fibre Bragg grating strain sensors. The method encodes the axial strain distribution along the Bragg grating, here represented through the local period distribution, into a gene. To facilitate rapid calculation of the grating reflected intensity spectrum, the transfer-matrix approach is applied. The genetic algorithm inversion method presented requires only intensity information from the sensor and reconstructs non-linear and discontinuous distributions well, including regions with significant gradients. The development of this algorithm will permit the use of Bragg grating sensors for structural damage identification, allowing them to be located in regions where strong strain non-uniformities occur.}, number={9}, journal={MEASUREMENT SCIENCE AND TECHNOLOGY}, author={Gill, A and Peters, K and Studer, M}, year={2004}, month={Sep}, pages={1877–1884} }
 @article{studer_peters_2004, title={Multi-scale sensing for damage identification}, volume={13}, ISSN={["1361-665X"]}, DOI={10.1088/0964-1726/13/2/006}, abstractNote={Damage identification is important for the lifetime prediction of any structure. In a composite structure, damage can occur at several material scales from micro-cracking to global buckling or delamination. This makes the identification of damage difficult with a single sensing device. In this paper, we propose to monitor a structural volume with an embedded optical fiber sensor network measuring strain, integrated strain, and strain gradients. Two methods are also compared for data fusion of the multi-scale data in order to determine damage parameters. The first calculates strain maps directly from the data; the second method uses a neural network. As an example, an isotropic, homogeneous structural volume with a localized crack is modeled. The results demonstrate that (a) the multi-scale sensing approach improves damage identification and (b) the neural network is a method well adapted for the multi-scale data fusion and significantly improves the damage identification capability.}, number={2}, journal={SMART MATERIALS AND STRUCTURES}, author={Studer, M and Peters, K}, year={2004}, month={Apr}, pages={283–294} }
 @article{studer_peters_botsis_2003, title={Method for determination of crack bridging parameters using long optical fiber Bragg grating sensors}, volume={34}, ISSN={["1879-1069"]}, DOI={10.1016/S1359-8368(03)00004-0}, abstractNote={The state of the local fiber–matrix interface highly influences the propagation of cracks in fiber-reinforced composites and thus the stress distribution in any bridging fiber. This paper demonstrates that by embedding a long optical fiber Bragg grating into a reinforcing fiber and using an established model of the grating response to non-uniform stress distributions, one can determine key parameters of a crack bridging model. The grating extending into the epoxy on each side of the crack is subject to a strain function as a result of all micro-mechanical phenomena acting along the fiber. Furthermore, this technique does not require that one knows a priori the exact location of the crack. Two types of central crack specimens with an artificial crack were fabricated and tested, one with a strong interface and one with a weaker interface resulting in frictional sliding. The results demonstrate that this technique is efficient for the measurement of the bridging forces through validation by previous measurements using short Bragg gratings and the deduction of interface parameters. Analysis also shows that the sensitivity of the Bragg grating sensor to the bridging force is sufficient, even for the more realistic case of an initially zero-width crack e.g. grown by fatigue.}, number={4}, journal={COMPOSITES PART B-ENGINEERING}, author={Studer, M and Peters, K and Botsis, J}, year={2003}, pages={347–359} }