Expansive soils are treated with anhydrous or hydrated lime. The use of calcium-based stabilizers such as calcium oxide (lime) in sulfate-bearing clay soils has historically led to distress due to the formation of an expansive mineral called ettringite and possibly another such mineral, thaumasite. Predicting the precipitation of these minerals is a complex problem related not only to soil composition but also construction methods, availability of water, ion migration, and whether the expansive mineral growth can be accommodated by the void structure in the surrounding soil. In trying to control the damage associated with such occurrences, engineers have attempted to determine a threshold value of soluble sulfates, a quantity that is relatively easy and quick to measure, at which significant ettringite growth and, therefore, structural distress occurs. Unfortunately, experience alone and “rules-of-thumb” based on experience are not sufficient to deal with this complex issue. This thesis describes how thermodynamic geochemical models of lime-treated soil can be used as a first step toward establishing problematic threshold levels of soluble sulfates for a specific soil. A foundation for the model development is presented, and two different soils are compared to illustrate their very different sensitivities to ettringite growth upon the addition of hydrated lime. Various soil series along the route of SH 130 between Austin and San Antonio have been identified to contain soluble sulfate that may pose a problem for soil stabilization using lime and cement. Since the model predicts ettringite growth based upon site-specific properties, this thesis also shows how the model can be used to assess the potential amelioration effects of soluble silica. Research was conducted at the Texas Transportation Institute to develop a methodology for identifying areas which are susceptible for ettringite formation. The proposed methodology uses a magnetometer to quickly screen large areas for high sulfate. Application of GIS to identify ettringite formation using soils, topographical, and geological maps is also illustrated in this thesis.

Retroreflective Raised Pavement Markers (RRPMs) supplement other pavement markings to provide guidance to road users. Previous research concerning durability of the RRPMs suggests that their performance has been degrading over the years. One of the main causes for underperformance of the RRPMs is the lack of appropriate laboratory testing standards that can test the adequacy of the RRPMs to perform in field conditions. There is a need to modify the existing standards or develop new testing procedures that can better simulate field conditions. This requires identifying critical locations and magnitudes of stresses inside the markers during the tire-marker impacts that happen on roads. The goal of this research was to identify critical magnitudes and locations of the stresses in RRPMs during the tire-marker impacts by doing the finite element modeling and simulation of the impacts, and use the information to recommend laboratory testing procedures that could simulate real-world conditions. The researcher modeled and simulated the tire-marker impacts using the finite element tools Hypermesh and LS DYNA. He calibrated the material properties of the marker models to improve the tiremarker model. Based on the tire-marker impact simulations, the researcher concluded that the critical compressive stresses during impacts are located at the edge contacts of retroreflective sides with the top surface. The critical stresses may also occur at lower and upper corners of the marker. The other areas, especially the lower half of the marker, had tensile stresses. Angle of impact was found to be a critical external variable that affected the stresses inside the markers and the marker-pavement interface forces. The researcher then modeled and simulated a few laboratory-testing procedures that could simulate the field performance of the RRPMs. Based on these simulations, the researcher recommended that the ASTM compression test for evaluation of RRPMs be continued or a similar test be developed. He suggested development of one new test (named as offset compression test) that could better replicate the field conditions. He also recommended having a review of the ASTM flexural test.

The research in the thesis investigates the use of minimal path techniques to track and detect cracks, modeled as curves, in critical infrastructure like pavements and bridges. We developed a novel minimal path algorithm to detect curves with complex topology that may have both closed cycles and open sections using an arbitrary point on the curve as the sole input. Specically, we applied the novel algorithm to three problems: semi-automatic crack detection, detection of continuous cracks for crack sealing applications and detection of crack growth in structures like bridges. The current state of the art minimal path techniques only work with prior knowledge of either both terminal points or one terminal point plus total length of the curve. For curves with multiple branches, all terminal points need to be known. Therefore, we developed a new algorithm that detects curves and relaxes the necessary user input to one arbitrary point on the curve. The document presents the systematic development of this algorithm in three stages. First, an algorithm that can detect open curves with branches was formulated. Then this algorithm was modied to detect curves that also have closed cycles. Finally, a robust curve detection algorithm was devised that can increase the accuracy of curve detection. The algorithm was applied to crack images and the results of crack detection were validated against the ground truth. In addition, the algorithm was also used to detect features like catheter tube and optical nerves in medical images. The results demonstrate that the algorithm is able to accurately detect objects that can be modeled as open curves.

Τα συστήματα διαχείρισης οδοστρωμάτων χρησιμοποιούνται ευρύτατα από τους φορείς οδοποιίας και συνεχώς βελτιώνονται επειδή μπορούν να οδηγήσουν σε σημαντική εξοικονόμηση κεφαλαίου και σε υψηλά επίπεδα εξυπηρέτησης του οδικού δικτύου. Στόχος τους είναι η αξιολόγηση των αποφάσεων συντήρησης και διαχείρισης των οδοστρωμάτων για την αποτελεσματική κατανομή των περιορισμένων διαθέσιμων πόρων. Τα σύγχρονα συστήματα που έχουν αναπτυχθεί χρησιμοποιούν μεθόδους τεχνητής νοημοσύνης για την επίλυση του προβλήματος αφού αποτελούν ισχυρά εργαλεία βελτιστοποίησης με μεγάλες υπολογιστικές ικανότητες. Η πλειοψηφία των συστημάτων που έχουν δημιουργηθεί εντοπίζει τη βέλτιστη λύση που ελαχιστοποιεί το κόστος συντήρησης χωρίς να λαμβάνεται υπόψη το αντίκτυπο της επιδείνωσης της κατάστασης του οδοστρώματος στο χρήστη και στο περιβάλλον. Ωστόσο, τα σύγχρονα οδικά έργα είναι αναγκαίο να χαρακτηρίζονται από βιωσιμότητα που απαιτεί την ελαχιστοποίηση των αρνητικών επιπτώσεων που οφείλονται στην κατάσταση του οδοστρώματος. Στόχος της παρούσας μεταπτυχιακής εργασίας είναι η ανάπτυξη ενός συστήματος διαχείρισης οδοστρωμάτων το οποίο αποσκοπεί στην παροχή υποστήριξης αποφάσεων για τις κατάλληλες στρατηγικές συντήρησης ώστε να εξασφαλιστούν αποδεκτά επίπεδα ασφάλειας και λειτουργικότητας του δικτύου των αυτοκινητοδρόμων στη διάρκεια του χρόνου καθώς και μείωση των περιβαλλοντικών επιπτώσεων. Το μοντέλο που παρουσιάζεται δεν περιορίζεται μόνο στο κόστος συντήρησης, όπως οι περισσότερες μελέτες, αλλά επικεντρώνεται στο γενικευμένο κόστος που περιλαμβάνει το κόστος συντήρησης, το κόστος χρήστη και το περιβαλλοντικό κόστος. Το κόστος χρήστη αποτελείται από το κόστος λειτουργίας οχήματος, το κόστος μετακίνησης και το κόστος ατυχημάτων. Το κόστος του περιβάλλοντος συνίσταται από το κόστος εκπομπής των αέριων ρύπων, το κόστος θορύβου και το κόστος στην οικονομική, κοινωνική και πολιτική ζωή. Τα δεδομένα του προβλήματος σχετίζονται με την αρχική κατάσταση των οδοστρωμάτων που πρόκειται να συντηρηθούν, το είδος και τα χαρακτηριστικά της οδού, το είδος και τα χαρακτηριστικά των οχημάτων, τα διαθέσιμα είδη συντήρησης και το ύψος της χρηματοδότησης. Εξαιτίας του μεγέθους και της πολυπλοκότητας του προβλήματος, η βελτιστοποίηση πραγματοποιήθηκε με την εφαρμογή ενός γενετικού αλγορίθμου που έχει τη δυνατότητα να εξετάσει πλήθος οδικών τμημάτων αναζητώντας ένα ευρύ φάσμα πιθανών λύσεων μέσα σε ένα εύλογο χρονικό διάστημα υπολογισμού. Ο αλγόριθμος καταφέρνει να εντοπίζει τον κατάλληλο συνδυασμό συντηρήσεων ώστε το γενικευμένο κόστος να ελαχιστοποιείται ενώ ταυτόχρονα το οδόστρωμα να διατηρείται σε καλή κατάσταση. Για την αξιολόγηση του μοντέλου ερευνήθηκαν πολλές διαφορετικές περιπτώσεις ενώ στο τέλος σχεδιάστηκε η καμπύλη Pareto. Τα αποτελέσματα απέδειξαν ότι το προτεινόμενο σύστημα μπορεί να βοηθήσει αποτελεσματικά στη διατήρηση των οδοστρωμάτων σε ικανοποιητικά επίπεδα λειτουργικότητας και κόστους μέσω των αποφάσεων συντήρησης που προτείνει. / Pavement management systems are widely used by road agencies and are improved continuously as they can lead to money savings and high levels of road services. The aim is to provide assistance to decision makers for selecting optimum strategies in the design, evaluation, and maintenance of pavements in order to maintain them in serviceable condition over a given period of time for the least cost. Nowadays, the developed systems use artificial intelligent methods to solve the problem which are powerful optimization tools with large computational abilities. The majority of pavement management systems detect the optimal solution that minimizes the maintenance cost without considering the impact of pavement deterioration in the user and the environment. However, they should be characterized by sustainability that requires an efficient use of resources and sensitivity to environmental and social constraints. In this paper, an optimisation model is developed that aims to provide decision support to engineers in developing appropriate pavement maintenance strategies to ensure acceptable levels of safety and functionalism of the highway network in time as well as reduction of environmental impacts. The model supersedes previous ones in considering the generalised cost, which includes the agency cost, the user cost, and the environmental impacts, as the main decision parameter. The user cost consists of three main components, the vehicle operation cost, the travel cost and the accident cost. The environmental cost consists of the air pollution cost and the noise cost. The input data are related to the initial pavement condition, the type and characteristics of the road, the type and characteristics of vehicles, the maintenance types and the budget limit. Due to the problem size and complexity, the optimisation is done with the employment of a genetic algorithm which can handle a large number of road sections, search a wide range of possible solutions, and reach a solution within reasonable computation time. The genetic algorithm can find the appropriate maintenance types in order to minimize the generalized cost while the pavement is kept in good condition. The model has been evaluated with several test cases and Pareto curves have been developed. The results indicate that the proposed model can effectively assist pavement preservation and management decisions in highway networks.

The structural strength of roads and streets as well as the uniformity of strength are ensured by a design strength of subgrade, sub-base and pavement layers, characterized by a deformation modulus, the value of which depends on the properties of materials used for the pavement structural layers and thickness of the layers. During construction of road or street pavement structure and its operation the continuous static and dynamic vehicle loads may cause the intermixing of the subgrade soil with the frost blanket course. Analogical process could happen between the frost blanket course and the sub-base constructed from the large particles of aggregate. Eventually, the intermixed materials of the different structural layers of road or street can have the impact on the strength and durability of the whole structure. In order to prevent the aggregates of different structural layers from becoming intermixed during road or street construction or in the phase of operation the geotextile inter-layers have been world-widely used in the recent 15 years. Based on the recommendations of U.S. researchers the geotextiles used for the separation of structural layers should be selected according to the existing formulas. However, these formulas are valid only for the road structures without asphalt concrete pavement. Another method for selecting geotextiles – specifications and recommendations of different countries. At present there are no generally accepted European specifications... [to full text] / Įrengiant automobilių kelio ar gatvės dangas ant žemės sankasos bei vėliau jas eksploatuojant dėl nuolatos pasikartojančių statinių bei dinaminių transporto priemonių apkrovų gali prasidėti žemės sankasos grunto bei apsauginio šalčiui atsparaus sluoksnio medžiagų sąmaiša. Analogiškas procesas gali vykti ir tarp apsauginio šalčiui atsparaus sluoksnio bei dangos pagrindo medžiagų. Ilgainiui kelio ar gatvės konstrukcijos sluoksnių medžiagų tarpusavio sąmaiša mažina dangos stiprį bei tvarumą. Siekiant išvengti atskirų konstrukcijos sluoksnių mineralinių medžiagų tarpusavio susimaišymo, tiesiant kelius ar gatves bei juos eksploatuojant, pastaruosius 15 metų pasaulyje plačiai taikomi geotekstilės tarpsluoksniai. Jungtinių Amerikos Valstijų mokslininkai geotekstiles parinkti rekomenduoja naudoti skaičiavimus pagal formules, tačiau jos tinka tik keliams be asfaltbetonio dangos. Kitas geotekstilių taikymo būdas – atskirų šalių sukurtos normos bei rekomendacijos. Europoje nėra vieningų norminių dokumentų, reglamentuojančių geotekstilių naudojimą automobilių kelių bei gatvių konstrukcijos sluoksniams atskirti. Tai galima pagrįsti tuo, kad Europos valstybėse yra skirtingos klimatinės bei geologinės sąlygos. Taigi kiekviena ar keletas valstybių, kurioms pagal jų sąlygas aktualu kelio konstrukcijos sluoksnius atskirti geotekstilėmis, turi savo normas ar rekomendacijas. Lietuvoje geosintetinės medžiagos tiesiant ir rekonstruojant automobilių kelius bei miestų gatves naudojamos tik... [toliau žr. visą tekstą]

Baigiamajame magistro darbe pateikta mokslo darbų, skirtų vėžių atsiradimo, gilėjimo asfalto dangoje ir įtakos transporto priemonių važiavimui analizė. Pateikti vėžių asfalto dangoje dinamikos ir įtakos transporto priemonių važiavimui modeliai. Atlikti Provėžų gylio pasiskirstymo Lietuvos valstybinės reikšmės magistraliniuose bei krašto keliuose eksperimentiniai tyrimai. Suformuluotos ir pateiktos išvados ir siūlymai. / The Master thesis provides the analysis of scientific works on the origin of ruts, their deepening on the asphalt pavement and impact on the vechile drive. It presents models of the dynamics of ruts on the asphalt pavement and their impact on the vehicle drive. Morover, experimental researches of the distribution of the depth of ruts on Lithuanian main and national roads were carried out, conclusions and suggestions formed and provided.

The PhD thesis focuses on the performance assessment of permeable pavement systems incorporating ground source heat pumps (GSHP). The relatively high variability of temperature in these systems allows for the survival of pathogenic organisms within the sub‐base. Salmonella sp, Escherichia coli, Enterococci and total heterotrophic bacteria were analysed in order to assess potential risk to health. Supplementary carbon dioxide monitoring indicated relatively high microbial activity on the geotextile and within the lower parts of the sub‐base. Anaerobic processes were concentrated in the space around the geotextile, where carbon dioxide concentrations reached up to 2000 ppm. The overall water treatment potential was high, with up to 99% biochemical oxygen demand removal. Variable removal efficiencies have been calculated for nutrients such as ortho‐phosphate‐phosphorus, ammonia and nitrates/nitrites. Calculated Coefficients of Performance and Energy Efficiency Rates provided evidence on correctness of GSHP design. Collected data was analysed with non‐parametrical statistics and a self‐organizing map model was used to assess relationships between variables. Findings present correlations considered as low and insignificant between temperature fluctuations and pathogen numbers. Highly significant correlations (p<0.01) were calculated for influent‐effluent relationships. Air and water temperatures and water quality data variability within the systems provided evidence for the high level of biological processes leading to a low risk of pathogen transition to human.

Low temperature cracking is a major distress in asphalt pavements. Several test configurations have been introduced to characterize the fracture properties of hot mix (HMA); however, most are considered to be research tools due to the complexity of the test methods or equipment. This dissertation describes the development of the indirect ring tension (IRT) fracture test for HMA, which was designed to be an effective and user-friendly test that could be deployed at the Department of Transportation level. The primary advantages of this innovative and yet practical test include: relatively large fracture surface test zone, simplicity of the specimen geometry, widespread availability of the required test equipment, and ability to test laboratory compacted specimens as well as field cores. Numerical modeling was utilized to calibrate the stress intensity factor formula of the IRT fracture test for various specimen dimensions. The results of this extensive analysis were encapsulated in a single equation. To develop the test procedure, a laboratory study was conducted to determine the optimal test parameters for HMA material. An experimental plan was then developed to evaluate the capability of the test in capturing the variations in the mix properties, asphalt pavement density, asphalt material aging, and test temperature. Five plant-produced HMA mixtures were used in this extensive study, and the results revealed that the IRT fracture test is highly repeatable, and capable of capturing the variations in the fracture properties of HMA. Furthermore, an analytical model was developed based on the viscoelastic properties of HMA to estimate the maximum allowable crack size for the pavements in the experimental study. This analysis indicated that the low-temperature cracking potential of the asphalt mixtures is highly sensitive to the fracture toughness and brittleness of the HMA material. Additionally, the IRT fracture test data seemed to correlate well with the data from the distress survey which was conducted on the pavements after five years of service. The maximum allowable crack size analysis revealed that a significant improvement could be realized in terms of the pavements performance if the HMA were to be compacted to a higher density. Finally, the IRT fracture test data were compared to the results of the disk-shaped compact [DC(t)] test. The results of the two tests showed a strong correlation; however, the IRT test seemed to be more repeatable.

<p>QC 20140902</p>

Several aspects of vehicle-pavement interaction have been studied and discussed in this thesis. Initially the pavement response is studied through a quasi-static and a dynamic computationally efficient framework under moving traffic loads. Subsequently, a non-stationary stochastic solution has been developed in order to account for the effect of pavement surface deterioration on pavement service life.The quasi-static procedure is based on a superposition principle and is computationally favourable, as it requires only a reduced incremental problem to be solved numerically. Using the developed framework, the effect of vehicle configuration and traffic characteristics on the damage induced in pavements is investigated numerically. It is shown that the developed numerical model provides a more accurate explanation of different distress modes.In the dynamic approach the pavement roughness and vehicle suspension system are linked to a dynamic pavement model in order to account for the dynamic effects of vehicle-pavement interaction on pavement response. A finite element method is employed in order to establish the response function for a linear viscoelastic pavement structure with dynamic effects taken into account. The developed computational procedure is applied to evaluate the effect of the pavement surface roughness on the pavement structure response to truck traffic loadings.Furthermore, the deterioration trends for the flexible pavement surface have been investigated based on field measurements of longitudinal profiles in Sweden. A predictive function is proposed for surface deterioration that is based on the average gradient of yearly measurements of the road surface profiles in Swedish road network. The developed dynamic framework is further elaborated to a non-stationary stochastic approach. The response of the flexible pavement is given for a non-stationary random case as the pavement surface deteriorates in pavement service life, thus influencing the magnitude of the dynamic loads induced by the vehicles. The effect of pavement surface evolution on the stress state induced in the pavement by moving traffic is examined numerically. Finally the effect of surface deterioration on pavement service life has been investigated and discussed in the thesis by incorporating the proposed prognostic surface deterioration model into a ME design framework. The results are discussed for different case studies with different traffic regimes. It was indicated that the predicted pavement service life decreases considerably when the extra dynamic loads, as a result of pavement surface deterioration, has been taken into account. Furthermore, the effect of performing a predictive rehabilitation process (i.e. resurfacing) has been studied by employing a LCC framework. The application of preventive maintenance was shown to be effective, especially when the deterioration rate is high. / <p>QC 20141119</p>