Site Investigation Research Articles

Improvement of Soil by Using Polymer Fiber Materials Underneath Square Footing

The change in project cost, or cost growth, occurs from many factors, some of which are related to soil problem conditions that may occurs during construction and/or during site investigation period. This paper described a new soil improvement method with a minimum cost solution by using polymer fiber materials having a length of (3 cm) in both directions and (2.5 mm) in thickness, distributed in uniform medium dense .sandy soil at different depths (B, 1.5B and 2B) below the footings. Three square footings has been used (5,7.5 and 10 cm) to carry the above investigation by using lever arm loading system design for such purposes. These fibers were distributed from depth of (0.1B) below the footing base down to the investigated depth. It was found that the initial vertical settlement of footing was highly affected in the early stage of loading due to complex Soil-Fiber Mixture (SFM) below the footing. The failure load value for proposed model in any case of loading increased compared with the un-reinforced soil by increasing the depth of improving below the footing. The Bearing Capacity Ratio (BCR) for soil-fiber mixture has been increased by ratio of (1.4 to 2.5), (1.7 to 4.9), and (1.8 to 8) for footings (5, 7.5, and 10 cm) respectively. The yield load-settlement for soil-fiber mixture system started at settlement of about 1.1% B while the yield load in un-reinforced soil started at smaller percentage which reflects the benefits of using such fiber materialfor improving soil behavior. Comparison between experimental and predicted (calculated) settlement below the footings showed the difference in ranges were within accepted limits for foundation settlements design

Geological and Climatic Factors Affecting the Correlation between Electrical Resistivity and SPT N-Value in Sandy Soils of Phuket, Thailand

Understanding the technical properties of the subsurface soil is essential for carrying out any building project correctly. In sandy soils in Phuket, Thailand, a correlation between electrical resistivity and the SPT N-value should be established in design to cut down on the time and expense of engineering field work for site investigation operations. Using the least squares method, the data of electrical resistivity and SPT N-values were fitted for regression analysis, and the behavior of the fitting coefficients was examined under various soil conditions found in the field. The factors affecting the link between electrical resistivity and the SPT N-value were found using data classifications of geology and climate. Phuket is located in a humid tropical region with frequent heavy rainstorms and extended periods of high temperatures and is composed of two main distinct geological areas: (1) igneous rock and (2) sedimentary and metamorphic rocks. According to the geological classification, the regression parameter (R2) of the relationship between the electrical resistivity and SPT N-values somewhat increased from a straightforward plot (R2 = 0.0171) to 0.1721, and the geology and climate data categorization revealed the best fit which is an exponential model (R2 = 0.6175). By re-examining the two VES lines under the identical bedrock and climate characteristics as the original model, the relative R2 of 0.5519 validates the association between electrical resistivity and SPT N-values. It is important to emphasize that the geology and climate of the collected data have an impact on the correlation model. Furthermore, a geotechnical investigation should be used to confirm the findings of an electrical resistivity survey as a preliminary tool to assess any problematic subsurface zones. However, more field test data from diverse places must be acquired in order to establish the relationship between the SPT N-value and electrical resistivity of sandy soils.

Assessing Transit Oriented Development (TOD) Elements at Earlier-Built Transit Stations

Urban inaccessibility is part of urban transportation issues. TOD is a solution to promote accessibility, and land use planning is part of TOD principles. This paper shares the outcome of a study that focuses on the interrelationship of land use and TOD and evaluates the core areas of two earlier-built transit stations before TOD was put forward in Malaysia. Thematic analysis was employed together with site investigations, and results demonstrated the essential requirement of integrating land use planning in TOD and the performance of two transit stations which embrace some of the critical principles of TOD.

Hydrogeochemical characterisation of the groundwater in the crystalline basement of Forsmark, the selected area for the geological nuclear repositories in Sweden

Numerous groundwater analyses from the crystalline bedrock in the Forsmark area have been performed between 2002 and 2019, together with thorough geological, geophysical, and hydrogeological studies, within the site investigations carried out by the Swedish Nuclear Fuel and Waste Management Company. The groundwater samples have been taken from boreholes down to ≈ 1000 m and the analysis include major- and trace-elements, stable and radiogenic isotopes, gases and microbes. The chemical and isotopic composition of these groundwaters evidences the presence of non-marine brackish to saline groundwaters with very long residence times (many hundreds of thousands of years) and a series of complex mixing events resulting from the recharge of different waters over time: glacial meltwaters, probably from different glaciations of which the latest culminated some 20,000 years ago, and marine waters from the Baltic starting some 7000 years ago. Later, meteoric water and present Baltic Sea water have recharged in different parts of the upper 100 m. These mixing events have also triggered chemical and microbial reactions that have conditioned some of the important groundwater parameters and, together with the structural complexity of the area, they have promoted a heterogeneous distribution of groundwater compositions in the bedrock. Due to these evident differences in chemistry, residence time and origin of the groundwater, several groundwater types were defined in order to facilitate the visualisation and communication. The differentiation (linked to the paleohydrological history of the area) was based on Cl concentration, Cl/Mg ratio (marine component), and δ18O value (glacial component).The work presented in this paper increases the understanding of the groundwater evolution in fractured and compartmentalised aquifers where mixing processes are the most important mechanisms. The model proposed to characterise the present groundwater system of the Forsmark area will also help to predict the future hydrogeochemical behaviour of the groundwater system after the construction of the repositories for the nuclear wastes.

Data-driven analysis of soil consolidation with prefabricated vertical drains considering stratigraphic variation

In coastal cities such as Hong Kong, rapid reclamation using prefabricated vertical drains (PVDs) is preferred as it can accelerate land supply to meet the urgent demand for houses. A robust PVD design relies on the correct identification of permeable soil layers and accurate delineation of their stratigraphic connectivity with surrounding drainage boundaries. The current engineering practice often ignores the physical locations of minor drainage boundaries (e.g., sand lenses) in the subsurface stratigraphy and might lead to a false interpretation of potential drainage and consolidation mechanisms. In this study, a data-driven analysis framework that takes stratigraphic uncertainty into consideration is proposed to investigate the spatiotemporal consolidation of PVD-improved ground using sparse site investigation data often encountered in engineering practice. The method adaptively develops multiple geological cross-sections from limited measurements and prior knowledge that is reflected by a single training image. The resulting multiple geological realizations serve as the input for PVD analysis. The proposed data-driven framework allows for a probabilistic evaluation of soil spatiotemporal behavior in terms of the degree of consolidation and future ground settlement. More importantly, the proposed method accurately predicts the spatial distribution of stratigraphic boundaries with quantified uncertainty, which significantly influences the consolidation mechanism.

Site investigation of soil competence by electrical resistivity and refraction seismic methods at a proposed building—a case study from Nigeria

Site investigation of soil competence by electrical resistivity and refraction seismic methods at a proposed building—a case study from Nigeria

The Use of Electrical Resistivity Tomography (ERT) for Engineering Site Investigation in the Ugbowo Campus of the University of Benin, Benin City, Nigeria

The Use of Electrical Resistivity Tomography (ERT) for Engineering Site Investigation in the Ugbowo Campus of the University of Benin, Benin City, Nigeria

Examining governance of post-earthquake reconstruction planning from an evolutionary resilience perspective

Purpose The politically laden nature of postdisaster recovery calls for more research on its governance, especially at the micro-scale. Apart from engineering-oriented frameworks, researchers need new theoretical underpinnings. This paper aims to review the development of the evolutionary resilience theory and use it as an analytical framework to evaluate the governance of post-earthquake reconstruction planning in China. Design/methodology/approach This paper examines how reconstruction planning is governed in the epicenter town of the 2008 Great Sichuan Earthquake, highlighting three key qualities of evolutionary resilience. The authors draw on site investigations, semistructured interviews and analysis of official and unpublished documents from various sources. Findings This paper finds that despite the absence of specific resilience statements in reconstruction plans of the time, qualities of evolutionary resilience, including social connectedness, flexibility and innovation, were evident in a hybrid and contradictory reconstruction planning system. In this respect, resilience thinking appears in Chinese planning earlier than generally assumed. This paper suggests that this manifestation of resilience was the result of an instrumental utility in addressing socioeconomic uncertainties in the postdisaster environment and, thus, may not be systematic. Originality/value This work enriches the understanding of recovery governance from an evolutionary resilience perspective where existing research is insufficient. It also offers ample practical guidance for similar cases in China and elsewhere.

Toolkit for the Assessment of Safety at Bus Stops

Safety at bus stops is a major concern of transit agencies. This research aimed to develop a data-driven method for estimating bus stop safety scores that will assist transit agencies in ranking and prioritizing bus stops for improvement considerations. This study presents a bus stop scoring methodology that uses a data-driven approach based on multiple data sources. The methodology was developed using six criteria: bus stop characteristics inventory, roadway characteristics inventory (RCI), land use and demographics, pedestrian crash frequency, annual average daily traffic, and annual ridership. Crash data were collected from SignalFour Analytics, and roadway characteristics data were retrieved from the Florida Department of Transportation RCI database. The Florida Geographic Data Library was used for retrieving census and land use data, while the Florida Transit Information System was employed to extract information on transit stops. A data-driven method was used to develop a priority list for improvements among the selected bus stops. The methodology was implemented in a case study including three transit agencies: Hillsborough Area Regional Transit Authority, Jacksonville Transportation Authority, and Miami-Dade Transit. A bus stop priority list was generated for each agency, with the highest-ranking bus stop location having the greatest need for safety improvements. Based on the analysis, safety measures that could improve safety at the highest-ranking bus stop locations include: installing a shelter, installing pedestrian safety features, conducting pedestrian safety outreach programs, and/or conducting further site investigation.

Estimation of spudcan penetration in variable sand deposits with the Arbitrary Lagrangian Eulerian Finite Element Method

Offshore jack-up rigs are most commonly founded on large-diameter conical “spudcan” foundations, which are frequently designed using traditional analytical methods for shallow footings. This paper presents the design of a spudcan installed off the coast of Tunisia. The maximum penetration depth of the footing under the available preload is predicted by a combination of analytical techniques, 2-dimensional axisymmetric modelling and 3-dimensional Finite Element Methods (FEM) using large strain arbitrary Lagrangian-Eulerian (ALE) techniques. Spudcan penetration based on FEM simulation of CPT soil profiles forms the basis of a comparison with results from the Society of Naval Architects and Marine Engineers (SNAME) guidelines. Particular attention is given to model calibration using the limited site investigation data available. Results are presented for the effect of penetrating footings on the behaviour of neighbouring footings, showing good agreement with conventional prediction methods.

Streamlining regulatory review in a multicenter platform trial: Opportunity to enhance patient centered care and drive innovation and efficiency.

1572 Background: In addition to being required by the Federal Policy for the Protection of Human Subjects for United States-based institutions that receive federal funding and are engaged in cooperative research projects, the use of a central Institutional Review Board (cIRB) has multiple benefits. Yet more advanced trial designs have unique needs and challenges that may hinder adoption of an efficient cIRB. Platform trials, which require both a master protocol and successive individual protocol amendments for each new agent, are prone to high regulatory burden that can slow trial recruitment, representing a significant workload for study personnel. Specific challenges for platform trials include high burden of new amendments and IRB review schedules staggered across sites, making it challenging to have all sites operating under the same amendment concurrently. Methods: Administrative assessments were collected over the course of the I-SPY2 trial. The primary outcome of interest was time from amendment submission to approval (calculated as the number of days from submission to the local IRB by the site investigators to approval by the local IRB). Quantitative data in terms of hours spent on regulatory tasks pre- and post-cIRB implementation was estimated. Site investigators were asked in December 2022 to complete a brief questionnaire to investigate perceptions on changes to workload and level of comfort using a cIRB. Results: Amendments were activated when 50% of high accruing sites had IRB approval. The number of sites with approval for an amendment to go live was < 25% prior to cIRB adoption, and 83% after. Following transition to the cIRB in February 2021, the mean time from amendment submission to approval decreased from 54.4 to 20.7 days by Jan 2023. Changes to the informed consent were possible once the cIRB was adopted, including: standardizing site-specific IRB language in a section of the consent, so it need not be adjusted with every new agent amendment; standardizing site-specific workflows; shortening consent and making it more patient friendly. The average time that CRCs spent on regulatory work at each site decreased by an average of 160 minutes, but was variable, revealing continued use of local IRB, other committees at some sites. A total of 14 respondents completed the survey; most respondents indicated that keeping up with the amendment approval process was easier post-cIRB and 94% were comfortable relying on a cIRB. The short time for cIRB approval revealed the inefficiency of other processes, including coverage analysis and building of drug order sets. Conclusions: Active engagement of cIRB leadership and IRB working group has enabled regulatory review that now takes less than 30 days. The cIRB is now the standard for the I-SPY family of trials. Other services can also be shared and will continue to drive efficiency and reduce the regulatory burden for sites.

A PROSPECTIVE MULTICENTER RANDOMIZED SHAM-CONTROLLED CLINICAL TRIAL TO EVALUATE THE SAFETY AND EFFECTIVENESS OF NETRODTM RADIOFREQUENCY RENAL DENERVATION SYSTEM FOR HYPERTENSION

Objective: To evaluate the safety and effectiveness of a novel basket-like six-electrode radiofrequency renal denervation (RDN) system (NetrodTM RDN System) in treating patients with uncontrolled hypertension. Design and method: This is a prospective, multicenter, randomized sham-controlled trial. Patients with uncontrolled hypertension (office BP > = 150/90 and <180/110mmHg, and average SBP > = 135mmHg by 24-hour ambulatory BP monitoring (ABPM), after taking > = 2 antihypertensive drugs with stable dose for > = 4 weeks) were screened after informed consent. All eligible patients first entered a lead-in period for > = 4 weeks of standardized medication (Nifedipine + hydrochlorothiazide), and those continued to meet definition of uncontrolled hypertension were randomized 2:1 to RDN group (using NetrodTM RDN System) and sham control group (renal artery angiography only). All continued with the 2-drug regimen and were evaluated at 7 days or discharge (whichever comes first), 1, 2, 3 and 6 months post procedure. Both patients and site investigators who evaluate the patients were blinded to treatment assignment. The primary endpoint is office SBP change from baseline at 6 months post procedure. Secondary endpoints include changes from baseline of office DBP. 24-hour ABPM at 6 months post procedure and safety events. Results: A total of 205 patients from 25 centers were enrolled and 139 randomized to RDN group and 66 to sham control group, with no statistical difference of baseline clinical characteristics between the 2 groups including baseline BP. Compared to baseline, at 6 months post procedure RDN group has a significantly greater office SBP reduction than sham group (25.53 ± 12.62mmHg vs 8.39 ± 11.89mmHg, p < 0.001). Office DBP change was -13.49 ± 8.09mmHg (RDN) vs -3.93 ± 9.04mmHg (sham), p < 0.001. For 24-hour ABPM, the average SBP and DBP reduction were also significantly greater in the RDN vs sham group (11.91 ± 12.23 vs 3.87 ± 12.45mmHg, p < 0.001; 6.03 ± 7.50 vs 1.68 ± 7.30mmHg, p < 0.001, respectively). Device or procedure related serious adverse events were rare throughout the trial. Conclusions: The novel NetrodTM RDN System is safe and effective in treating uncontrolled hypertension with significant reduction in both office and 24-hour ambulatory BP.

Physicochemical Characterization of the Render Layer of a Rammed Earth Wall in Fuyulou, China

The render layer plays an essential role in the longevity of rammed earth constructions. A physicochemical analysis of the renders of the historical buildings of Fujian Tulou, a World Heritage site in Fujian, China, is presented in this paper to provide technical data related to the protection and restoration of this historical site. After a site investigation, the physical and chemical characteristics of the render layer were studied by means of particle-size analysis, unconfined compressive strength analysis, scanning electron microscopy (SEM), X-ray fluorescence (XRF) spectroscopy, Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), and thermogravimetric analysis (TGA). The results obtained in the experimental study were analyzed and compared with those gathered from the literature, leading to the establishment of useful conclusions for the formulation of restoration mortars.

Geological Complications and Environmental Hazards of the Cement Raw Materials Quarry Sites in Yemen

Extensive field and site investigations were conducted to assess and evaluate the situation in the presently exploited quarries of cement raw materials in Yemen. These quarries have several geological complications represented mainly by high elevations, steep slopes, rugged topography, heterogeneity in bed thickness, lithologic composition and quality, presence of igneous sills and dykes, intensive fracturing and jointing and abundance of karstification features. Moreover, the processes of quarrying and related operations have several negative environmental impacts the most important of which are soil failure, overburden and land sliding, toppling and rock falls (which result in considerable mass wasting) and emission of dust and noise. Generally, quarrying operations are more hazardous in quarries of gypsum and basement rocks than in those of carbonates and volcanics. Furthermore, the quarries have problems related to the conservation of natural resources. These are represented primarily by the excavation of the valuable agricultural and reclaimed lands and improper exploitation of the cement raw materials and the fresh and underground waters the reserves of which decreased drastically. To deal with the above-mentioned problems, a number of recommendations are outlined. They comprise mitigation measures which must be strictly implemented. Also, it is of almost importance to conduct prospecting for new occurrences of the presently exploited cement raw materials and their possible substitutes as well as additional groundwater resources.

Bayesian Analysis of Benchmark Examples for Data-Driven Site Characterization

Data-driven site characterization (DDSC) aids geotechnical engineering by inferring and mapping soil parameters of the subsurface domain. In practice, the limited availability of site investigation data may hinder the performance of traditional machine learning methods and implies significant uncertainty in the predictions, which is typically not quantified. In this study, a framework for Bayesian site characterization (BaySiC) is applied on a benchmark example. Adopting Bayesian statistics enables the framework to deal with small training data sets and allows for coherent quantification of uncertainty, which is valuable to engineering practice for assessing the reliability and the determining characteristic values. BaySiC uses site investigation data to infer statistical estimators of cone penetration test (CPT) parameters and their dependence, as well as to learn spatial correlations. Consecutively, it generates a three-dimensional (3D) map of the subsurface by predicting the CPT parameter values and classifying the material type over the soil domain. For the benchmark example, the study formulated two models within the BaySiC framework and demonstrated their conduct in several cases of varying complexity. Eventually, the performance of the models was evaluated and compared in both deterministic and probabilistic terms. One of the models proved highly effective in predicting the material type at new locations of the subsurface domain, whereas the other provided accurate mapping of the CPT parameters even in complex stratigraphic cases. Also, investigating and comparing the results of the models led to insights regarding the effectiveness of their formulation. Moreover, the paper used hypothesis testing as a means of assessing the predictive power of the model independently from the validation data set. Stemming from the benchmark example, the paper draws conclusions that are meaningful to geotechnical engineering and decision-making.

Mapping the environmental impacts from land subsidence hazard in Pekalongan City and its correlation with the subsurface condition

Land subsidence in Pekalongan city has affected almost the entire municipality for at least ten years. Land subsidence has occurred in almost all Pekalongan city areas at 2-12 cm/year rates. The direct and indirect environmental impacts of land subsidence are enormous. We aim to map the environmental impacts of land subsidence in Pekalongan city and evaluate the severity of the impacts with the subsurface condition of the affected area. We employed site investigation using resistivity and CPTu soundings at representative sites to reveal the subsurface soils and site survey to map the environmental impacts. Resistivity measurements using a Schlumberger array were carried out at 24 sites, along with 12 CPTu measurements up to 30 m deep. Results show that the subsurface condition up to the depth of 30 m consists of alluvial sediment of clay, silt, and organic soils intercalated with lenses of sand. The alluvial sediment in the southern part is dominated by sandy soils and has a higher stiffness with cone resistance of 1-2 MPa and a friction ratio of 50-200 kPa. The subsurface soils in the northern part are dominated by clay, silt, and organic soils with low cone tip resistance of <0.5- 1 MPa, and friction ratio of <0.25-100 kPa. These values indicate that the sandy soils in the southern part are more compact and have higher bearing capacity than the soft, fine-grained soils in the northern area. The visible impacts of land subsidence include flood and inundation, settlement of buildings and roads, and cracks in houses and infrastructure. The severity of impacts worsens from South to North of the city. This condition is related to the subsurface stratification and engineering properties, where lower bearing capacity occurs in the north.

Application of 2D Electrical Resistivity Method for Detections of Subsurface Karst Hazards Within the State Company for Glass and Refractories in Ar-Ramadi City, Iraq

The electrical resistivity method has been applied to detect the subsurface karst hazards using Dipole-dipole and Wenner – Schlumberger arrays with a-spacing equal to 1m and n-factor 6 at three selected stations within the State Company for Glass and Refractories in Al-Ramadi City, Iraq. The results indicate that the area formed a weakness zone as two separated zones, the first at a depth in the range of 2.5-5 m within the quaternary deposits and the second weakness zone within the Injana Formation deposits at an approximate depth range of 7 – &gt;12 m. The investigation advises conducting physical, chemical, and engineering site investigations to decide the suitable treatment techniques to solve these problems.

TESLA Trial: Rationale, Protocol, and Design

Background Mechanical thrombectomy has been shown to be effective in patients with acute ischemic stroke secondary to large‐vessel occlusion and small to moderate infarct volume. However, there are no randomized clinical trials for large‐core infarct volume comparing mechanical thrombectomy to medical therapy in the population selected based solely on noncontrast computed tomography brain scan. The TESLA (Thrombectomy for Emergent Salvage of Large Anterior Circulation Ischemic Stroke) randomized clinical trial is designed to address this clinical question. Methods The TESLA trial aim is to demonstrate the efficacy (3‐month and 1‐year disability following stroke) and safety of intraarterial mechanical thrombectomy in patients with large‐volume infarction assessed with a noncontrast computed tomography scan. The TESLA trial design is a prospective, randomized controlled, multicenter, open‐label, assessor‐blinded anterior circulation acute ischemic stroke trial with adaptive enrichment design, enrolling up to 300 patients. Patients with anterior circulation large‐vessel occlusion who meet the imaging and clinical eligibility criteria with a large‐core infarction on the basis of noncontrast computed tomography Alberta Stroke Program Early CT Score (2–5) adjudicated by a site investigator will be randomized in a 1:1 ratio to undergo intraarterial thrombectomy or best medical management up to 24 hours from last known well. Results The primary efficacy outcome is utility‐weighted modified Rankin Scale (mRS) score distribution at 90 days between the groups. The results will be based on an intention‐to‐treat analysis that will examine the Bayesian posterior probability that, adjusted for Alberta Stroke Program Early CT Score, patients with large‐core infarct volume treated with intra‐arterial thrombectomy have higher expected utility‐weighted mRS than those treated with best medical management alone. The primary safety outcome is the 90‐day death rate. Key secondary outcomes are dichotomized mRS 0 to 2 and 0 to 3 outcomes, ordinal mRS scores, and quality of life (EuroQol 5 Dimension 5 Level survey) at 90 days and 1 year, utility‐weighted mRS at 1 year, hemicraniectomy rate, and rate of 24‐hour symptomatic intracranial hemorrhage in both groups. Conclusion TESLA is a pragmatic trial, designed to address the unanswered question of the efficacy and safety of intra‐arterial thrombectomy in patients with large infarcts diagnosed by the site investigator only on noncontrast computed tomography scan secondary to anterior circulation large‐vessel occlusion up to 24 hours from stroke symptoms onset.

Applications of Machine Learning in Mechanised Tunnel Construction: A Systematic Review

Tunnel Boring Machines (TBMs) have become prevalent in tunnel construction due to their high efficiency and reliability. The proliferation of data obtained from site investigations and data acquisition systems provides an opportunity for the application of machine learning (ML) techniques. ML algorithms have been successfully applied in TBM tunnelling because they are particularly effective in capturing complex, non-linear relationships. This study focuses on commonly used ML techniques for TBM tunnelling, with a particular emphasis on data processing, algorithms, optimisation techniques, and evaluation metrics. The primary concerns in TBM applications are discussed, including predicting TBM performance, predicting surface settlement, and time series forecasting. This study reviews the current progress, identifies the challenges, and suggests future developments in the field of intelligent TBM tunnelling construction. This aims to contribute to the ongoing efforts in research and industry toward improving the safety, sustainability, and cost-effectiveness of underground excavation projects.

Estimating Liquefaction Susceptibility Using Machine Learning Algorithms with a Case of Metro Manila, Philippines

Soil liquefaction is a phenomenon that can occur when soil loses strength and behaves like a liquid during an earthquake. A site investigation is essential for determining a site’s susceptibility to liquefaction, and these investigations frequently generate project-specific geotechnical reports. However, many of these reports are frequently stored unused after construction projects are completed. This study suggests that when these unused reports are consolidated and integrated, they can provide valuable information for identifying potential challenges, such as liquefaction. The study evaluates the susceptibility of liquefaction by considering several geotechnical factors modeled by machine learning algorithms. The study estimated site-specific characteristics, such as ground elevation, groundwater table elevation, SPT N-value, soil type, and fines content. Using a calibrated model represented by an equation, the investigation determined several soil properties, including the unit weight and peak ground acceleration (PGA). The study estimated PGA using a linear model, which revealed a significant positive correlation (R2 = 0.89) between PGA, earthquake magnitude, and distance from the seismic source. On the Marikina West Valley Fault, the study also assessed the liquefaction hazard for an anticipated 7.5 M and delineated a map that was validated by prior studies.