Structural Health Monitoring (SHM) as a process in order to implement damage detection strategy and assess the condition of structure plays key role structural reliability. In this paper, we aim present methodology for online damages which may occur during strong ground excitation. regard, Empirical Mode Decomposition (EMD) is superseded by Ensemble (EEMD) Hilbert Huang Transformation (HHT). Albeit analogous, EEMD brings about more appropriate Intrinsic Functions (IMFs) than EMD. IMFs are...

Modern smart cities are focusing on transportation solutions to detect and mitigate the effects of various traffic incidents in city. To materialize this, roadside units ambient trans-portation sensors being deployed collect vehicular data that provides real-time monitoring. In this paper, we first propose a data-driven anomaly-based incident detection framework for city-scale system. Specifically, an incremental region growing approximation algorithm optimal Spatio-temporal clustering road...

A novel approach is proposed for the reliability estimation of jacket-type offshore platforms excited by dynamic loadings (wave and seismic) applied in time domain. The information on risk extracted with help multiple finite element-based deterministic analyses. This feature expected to be attractive practitioners routine applications without advanced expertise risk-based design concept. It will also interest researchers since concept innovatively integrates several mathematical concepts,...

Purpose Due to many different types of aleatory and epistemic uncertainty in soil properties, safety factor, which is assessed by deterministic analysis, not reliable. The purpose this paper determine the difference between critical slip surface analysis reliability probabilistic analysis. Design/methodology/approach Deterministic formulated limit equilibrium methods, including Fellenius method, Bishop Janbu’s simplified method. Then, factor calculated for surfaces. stability defined as with...

Emergency Response Management (ERM) necessitates the use of models capable predicting spatial-temporal likelihood incident occurrence. These are used for proactive stationing in order to reduce overall response time. Traditional methods simply aggregate past incidents over space and time; such approaches fail make useful short-term predictions when spatial region is large focused on fine-grained entities like interstate highway networks. This partially due sparsity with respect Further,...

Emergency response is highly dependent on the time of incident reporting. Unfortunately, traditional approach to receiving reports (e.g., calling 911 in USA) has delays. Crowdsourcing platforms such as Waze provide an opportunity for early identification incidents. However, detecting incidents from crowdsourced data streams difficult due challenges noise and uncertainty associated with data. Further, simply optimizing over detection accuracy can compromise spatial-temporal localization...

Principled decision making in emergency response management necessitates the use of statistical models that predict spatial-temporal likelihood incident occurrence. These are then used for proactive stationing which allocates first responders across spatial area order to reduce overall time. Traditional methods simply aggregate past incidents over space and time fail make useful short-term predictions when region is large focused on fine-grained entities like interstate highway networks....

Designing effective emergency response management (ERM) systems to respond incidents such as road accidents is a major problem faced by communities. In addition responding frequent each day (about 240 million medical services calls and over 5 in the US year), these also support during natural hazards. Recently, there has been consistent interest building decision optimization tools that can help responders provide more efficient response. This includes number of principled subsystems...

Novel geomechanics concepts for seismic design satisfying the current performance-based (PBSD) requirements are presented. Issues related to soil conditions explicitly addressed. To satisfy underlying dynamics as realistically possible, structures represented by finite elements and earthquake excitations applied in time domain. PBSD is essentially a sophisticated risk-based concept. incorporate uncertainty loading, guidelines require consideration of at least 11 histories. For wider...

Civil structures are on the verge of changing which leads energy dissipation capacity to decline. Structural Health Monitoring (SHM) as a process in order implement damage detection strategy and assess condition structure plays key role structural reliability. Earthquake is recognized factor variation condition, inasmuch inelastic behavior building subjected design level earthquakes plausible. In this study Hilbert Huang Transformation (HHT) superseded by Ensemble Empirical Mode...

Designing effective emergency response management (ERM) systems to respond incidents such as road accidents is a major problem faced by communities. In addition responding frequent each day (about 240 million medical services calls and over 5 in the US year), these also support during natural hazards. Recently, there has been consistent interest building decision optimization tools that can help responders provide more efficient response. This includes number of principled subsystems...

Emergency response is highly dependent on the time of incident reporting. Unfortunately, traditional approach to receiving reports (e.g., calling 911 in USA) has delays. Crowdsourcing platforms such as Waze provide an opportunity for early identification incidents. However, detecting incidents from crowdsourced data streams difficult due challenges noise and uncertainty associated with data. Further, simply optimizing over detection accuracy can compromise spatial-temporal localization...