Neha Aswal

National Institute for Research in Computer Science and Control | INRIA · I4S - Statistical Inference for Structural Health Monitoring Research Team

Bayesian filtering based structural health monitoring algorithms typically assume stationary white Gaussian noise models to represent an unknown input forcing. However, typical structural damages occur mostly under the action of extreme loading conditions, like earthquake or high wind/waves, which are characteristically non-stationary and non-Gauss...

Tensegrity structures form a special class of truss with dedicated cables and bars, that take tension and compression, respectively. To ensure equilibrium, the tensegrity members are required to be prestressed. Over prolonged usage, the cables may lose their prestress while bars may buckle, affecting the structural stiffness as well as its dynamic...

Tensegrities form a special case of truss, wherein compression members (struts/bars) float within a network of tension members (cables). Tensegrities are characterized by the presence of at least one infinitesimal mechanism stabilized with member pre-stress to ensure equilibrium. Over prolonged usage, the cables may lose their pre-stress while the...

Bayesian filtering based approaches for diagnosis of structural damage have been widely employed in structural health monitoring (SHM) research. The approach however may lead to an inaccurate alarm/decision due to the presence of faulty sensor/s. Nevertheless, sensor faults are inevitable during real field SHM in which sensor may malfunction or get...

To avert catastrophic failure in the structures, joints are typically designed to yield, but not fail, so that energy accumulated under cyclic loading is dissipated. Eventually, this renders the structural joints to be characteristically weaker and more vulnerable than the members. Yet, damage detection research mostly assumes damage in the members...

Tensegrities are self-stressed structures characterized by the presence of at least one infinitesimal mechanism stiffened by pre-stress present in the members. While in the absence of this pre-stress, tensegrities seize to exist, the variation in pre-stress can lead to different self-stressed states which must not be confused with a structural anom...

Structural Health Monitoring (SHM) enables assessing in-service structures' performance by localizing structural anomaly instances immediately after their occurrence. Typical SHM approaches monitor the entire structural spatial domain aggravating the required density and cost of instrumentation. Further, with model-based approaches, the entire stru...

Typically, for linear parameter varying systems, which can potentially get influenced by spatiotemporal external parameters, possible changes in their eigen structure are not easy to be attributed conclusively to system faults or spatiotemporal parametric variations. Such spatiotemporal variations can although be estimated alongside, yet at the cos...

Tensegrities are structural mechanisms, with dedicated compression (struts/bars) and tension members (cables). The compression members float inside the network of tension members. Tensegrities are characterized by the presence of at least one infinitesimal mechanism, which is stabilized by the pre-stress present in the members, to ensure the equili...

Tensegrity is a network of bars and cables that maintains its structural integrity with tension present in its cables. Other than typical structural failure mechanisms, tensegrity may fail due to slacking of cables or buckling of bars. Real-life tensegrities are an assemblage of component modules. Large tensegrities require excessive computation fo...

Bayesian filtering-based Structural Health Monitoring (SHM) approaches predominantly employed Extended and Unscented Kalman filter variants (EKF and UKF) for joint estimation of states and parameters. In these approaches, a set of parameters denoting location-based system health indices are either appended in the response state vector of the system...

Sensor types and their positioning is a major factor in structural health monitoring (SHM) to ensure certainty in estimation. While acceleration has predominantly been employed for damage detection, they are known to be costly and not frame invariant (except for moderately accurate GPS based accelerometers). A thorough monitoring of a real life str...

The unique nature and stability criterion for tensegrity structures demand a special approach for their design. Form finding is the method that identifies a stable shape for a tensegrity by optimizing the coordinate positions of its free nodes. The ultimate outcome for form-finding is the level of prestress (in terms of force densities) for which t...

Tensegrity structures can be defined as structural mechanisms having separate tension and compression members, where compression members are discontinuous and float in a network of tension members. Before incorporating tensegrity into major construction works, stability and safety of tensegrity as a structure has to be studied and scrutinized prope...