1. Introduction
Although relatively rare, destructive earthquakes can cause extensive damage or even lead to the partial or total collapse of historical load-bearing masonry buildings that have not been retrofitted in accordance with modern seismic codes.
These structures typically exhibit inherent structural weaknesses, such as inadequate connections between individual load-bearing components and the low mechanical strength of materials, which render them particularly vulnerable to seismic forces. Failure mechanisms—such as in-plane and out-of-plane bending of masonry walls, leading to wall overturning, disaggregation and/or collapse of external wall corners [
1]—have been repeatedly observed in recent major earthquakes, including those in Lesbos (2017) [
2] and Turkey (2023) [
3,
4], thus confirming the need for further investigation into the seismic performance of such structures.
To this end, this paper examines the Archaeological Museum of Lemnos—a three-storey load-bearing stone masonry building with a timber-tiled roof, located in the island’s capital, Myrina. The structure features a regular floor plan and a distinctive composite system of timber-framed load-bearing masonry. Analogous construction typologies are found in the traditional architecture of various regions, including Lesvos [
5], Lefkada [
6], Turkey [
4], the Himalayas [
7], Chile [
8], and Portugal (Pombalino System) [
9].
Generally, in timber-framed load-bearing masonry buildings, the timber framing functions as a secondary seismic response mechanism (substructure). Whether implemented as floor-level ties, reinforcement at critical masonry points (e.g., around openings), or as a timber space truss embedded within the masonry—often in combination with internal timber-framed partition walls (bagdadi)—this system enhances the compressive strength of the masonry (by up to 20%), prevents vertical cracking, and reduces overall cracking (by up to 50%) [
10]. It also increases the shear capacity and deformability of the masonry prior to failure [
10]. Notably, despite the large deformations they may undergo, such structures have demonstrated the ability to withstand major seismic events [
7]. In addition, timber-framed interior partition walls contribute—among other things—to increasing the stiffness and overall strength of the structure.
It should be noted that significant interventions have been carried out on the building under study, including the addition of reinforced concrete (RC) elements (an RC slab at the first-floor level and a bond beam at the roof level), which have altered its original structural system at the diaphragm levels [
11].
Regarding the seismicity of the broader study area—the northeastern Aegean Sea, where the western end of the North Anatolian Fault extends—significant earthquakes have been recorded, including the Agios Efstratios event on 20 February 1968 (Mw 7.0–7.4) and the Lemnos earthquake on 24 May 2014 (Mw 6.9). However, seismic acceleration data are only available for the latter, with a recorded peak ground acceleration (PGA) of 0.11 g [
12].
According to a seismic hazard assessment study for the North Aegean region [
13], PGAs of up to 0.3 g are estimated in areas near Lemnos under earthquake scenarios with magnitudes of Mw 7.0 or higher. Notably, during the 12 June 2017 earthquake on the neighboring island of Lesvos, accelerations reached values as high as 0.2 g—approaching the design PGA value specified by the Eurocode 8 response spectrum for the broader region [
2].
To assess the seismic response of the AML to strong ground motions, three major seismic events were selected: the Northridge earthquake (Pacific Palisades—Sunset station, Los Angeles, CA, USA, 1994, Mw = 6.7) [
14]; the Kahramanmaraş earthquake (Turkey, 2023, Mw = 7.7) [
15]; and the Kocaeli earthquake (Düzce station, Turkey, 1999, Mw = 7.51) [
14]. To adapt these seismic records to the target spectrum calculated for the AML, the procedure outlined in EC8 was followed. The response spectra of the selected ground motions were scaled to match the EC8 design spectrum within the period range of 0.2 T to 2 T, where T is the fundamental period of the system in each seismic direction.
Additionally, in order to compare the original and the existing structural systems, two finite element models were developed, one excluding and one incorporating RC elements. It should be noted that interventions involving reinforced concrete (e.g., slabs and bond beams) can have a significant impact on load-bearing masonry buildings, depending on factors such as the adequacy of slab-to-masonry connections, the proper use of reinforcement [
4], and whether the intervention is accompanied by masonry strengthening [
2].
Finally, given that the building is founded on class D soft soil, as defined by EC8, soil–structure interaction (SSI) effects were also investigated for each model. The results of the analyses are compared with those of the study by Genç et al., 2023 [
16] which analyzed the seismic behavior of a historic building under both fixed-base conditions and soil–structure interaction (massed and massless) across three different soil categories: hard, medium, and soft. The results are also compared with the study of [
17]. Also, Requena-Garcia-Cruz [
18] examined the impact of soil-structure interaction (SSI) effects on the seismic analysis of cultural heritage buildings, such as the Mosque-Cathedral of Córdoba in Spain. An investigation of Özmen & Sayin [
19] was conducted into the variations in the seismic response of a historical masonry church, utilizing four different SSI models in addition to a fixed base model that did not consider SSI. Furthermore, the research of Altiok and Demir [
20] examines the seismic response of the historical Lala Mehmet Pasha minaret by taking into account Soil Structure Interaction (SSI). The influence of SSI on the out-of-plane performance of an ancient structure in Iran, known as Arge-Tabriz has been investigated by Fathi et al., [
21]. Tzanakis et al., [
22] explored the seismic performance of St. Titus Church located in Heraklion, Crete, Greece, along with the necessity for its seismic retrofitting. Additionally, the impacts of soil-structure interaction have been considered.
This research tackles significant deficiencies in the seismic evaluation of historic masonry structures by offering a thorough analysis that concurrently takes into account original construction methods, contemporary strengthening measures, and the effects of soil-structure interaction, elements that are seldom analyzed together in the current literature. The engineering significance of these structures is underscored by their dual function as cultural heritage assets and operational public buildings, rendering their seismic safety crucial for both the protection of lives and the preservation of heritage. Historic load-bearing masonry edifices, such as the Archaeological Museum of Lemnos, are especially susceptible due to their age, material deterioration, and construction techniques that predate modern seismic regulations. Nevertheless, they must continue to fulfill modern roles while preserving their historical authenticity. The originality of this study arises from its direct comparison of two strengthening approaches, traditional grout injection against modern reinforced concrete solutions, utilizing the same analytical methods and realistic seismic inputs that adhere to Eurocode 8 standards [
23]. By integrating soil-structure interaction effects for Category D soils and concentrating on quantitative metrics like interstorey drift ratios and peak tensile stress, this research offers valuable insights for engineers and conservators striving to reconcile structural safety with heritage preservation needs, while also establishing a replicable framework for evaluating similar composite timber-framed stone masonry systems globally.
3. Materials and Numerical Modeling
3.1. FE Models
The structural composition of the Archaeological Museum of Lemnos comprises a complex system that incorporates both traditional materials and later reinforced concrete additions. Each floor level exhibits different masonry types and construction techniques, which were carefully taken into account in the development of the numerical models.
The ground floor is constructed with three-leaf rubble masonry, while two-leaf masonry is used for the interior walls. On the first floor, the exterior walls are also constructed with two-leaf masonry, whereas the interior partitions are made of clay brick masonry. The second floor features a dual construction system: two-leaf masonry integrated with a traditional embedded timber frame system (friggia). Although structurally significant, this system was excluded from direct modelling due to its complexity and the variability in the performance of timber elements, which depends on factors such as age and the quality of joinery. Timber components were, however, included in the model to represent floor joists, ties, and wall plates. Subsequent intervention phases introduced reinforced concrete (RC) elements into the structure, including a floor slab with beams, RC bond beams, and IPE steel beams supporting the second-storey floor.
The numerical modeling and structural analysis were performed using SAP2000 [
28]. For modeling purposes, the following material and section typologies were identified and assigned geometrical and mechanical properties:
Three-leaf rubble masonry (ground floor exterior walls).
Two-leaf rubble masonry (ground floor interior walls and first-floor exterior walls).
Two-leaf rubble masonry with timber frames (second-floor exterior walls, modeled with adjusted unit weight to reflect embedded timber content).
Clay brick masonry (ground floor and first-floor interior walls).
Steel beams (IPE).
Timber elements (tie beams, floor joists, and roof wall plates).
Reinforced concrete elements (slab with beams, bond beam).
Two structural models were simulated to evaluate the seismic behavior of the building (
Figure 8):
The first model (Model 1 or M1) represents the building with its original structure (wooden floors), assuming that the load-bearing masonry has been strengthened through grout injection. Although constructed at a later phase, the first-floor interior walls are modeled as clay brick masonry, to support the overlying timber joists.
The second model (Model 2 or M2) represents the current state of the building (fifth construction phase). In this case, a 20% increase in masonry strength is applied [
29] to account for improvements due to repointing works.
In both models, masonry is treated as a homogeneous, isotropic material that combines the properties of its constituent materials (stone and mortar). The rationale for adopting an isotropic approach probably arises from practical modeling factors and the constraints of existing material property data for historical masonry. Assessing the complete anisotropic material properties of century-old masonry would necessitate comprehensive and possibly destructive testing, which may not be practical for a functioning museum structure. Furthermore, the intricate geometry and diverse construction methods employed throughout the building could complicate the establishment of uniform directional properties. However, the mechanical contribution of the embedded timber frames is not explicitly modeled; only their self-weight is taken into account in the structural analysis. The geometric data for both models were derived from the architectural plans provided in [
25].
To facilitate the modeling process and reduce computational complexity, a series of simplifications and assumptions were adopted:
Architectural details were simplified and elements (e.g., openings) were moved by 5–10 cm in order to reduce the number of structural nodes. Decorative elements on the façades were not simulated.
The roof was not modeled, but its loads were applied at the points of contact between the roof trusses and the masonry.
Interior and exterior staircases, as well as permanent operational loads associated with the building’s function as a museum, were not included in the simulation.
The marble balcony on the main façade was not modeled; however, its loads were applied as pairs of forces and moments at its four support points.
The masonry walls were modeled with finite shell elements. The eccentricity of the masonry at each floor was taken into account—since the ground floor walls are thicker than those of the upper floors—and was modeled using the ‘Area Thickness Overwrites’ command.
All timber elements (roof and floor joists and ties), steel IPE beams and the RC bond beam at roof level were modeled as linear frame elements, with frame releases applied at their ends to reflect realistic connection behavior.
The ‘Insertion Point’ command was used on all frame elements to accurately model their eccentric positioning relative to the global geometry.
The reinforced concrete floor slab was modeled using shell finite elements.
Timber floorboards were not modeled; however, the weight of the timber floors was applied as distributed loads on the joists.
The discretization of shell elements was performed using the ‘Divide Areas’ command with a maximum element size of 0.5 × 0.5 m. Frame elements were meshed using Assign Automatic Frame Mesh.
3.2. Mechanichal Properties
The mechanical properties of all structural elements were calculated according to [
1,
23,
26,
27,
29,
30,
31,
32,
33,
34,
35,
36,
37] and they are presented in
Table 2,
Table 3,
Table 4 and
Table 5.
In the above tables, fc stands for compressive strength, ft for tensile strength, fyk and fu (steel) for characteristic yield strength and ultimate tensile strength respectively, E denotes the modulus of elasticity, and γ the unit weight. The Poisson’s ratio is assumed to be 0.2 for all materials, except for wood and steel S235, for which a value of 0.3 is adopted.
3.3. Loads
Dead loads are assumed to be 0.5 kN/m
2 for wooden floorboards and 1.2 kN/m
2 for ceramic tiles [
38]. In addition, the self-weight of structural elements has also been taken into account. Live loads are assumed to be 5.0 kN/m
2 for the floors and 0.5 kN/m
2 for the roof [
38].
3.4. Soil Properties and Soil–Structure Interaction (SSI)
According to the geotechnical report carried out for the AML, the wider coastal zone of Romeikos Gialos is covered by Holocene Quaternary (al) deposits, coastal deposits and dunes. The deposits consist of alluvial clay, argillic materials, sands, and weathered products of older sedimentary and volcanic rocks [
39]. Τhe subsoil of the building’s foundations is classified as category D: Deposits of loose-to-medium cohesionless soil (with or without some soft cohesive layers), or of predominantly soft-to-firm cohesive soil [
23].
In general, soil–structure interaction (SSI) can significantly affect structures built on soft or saturated soils, as it can lead to an increase in their fundamental period and consequently alter their dynamic behavior. According to [
40], taking SSI into account is particularly important for structures founded on soils with high groundwater levels and high plasticity (PI > 40), typically corresponding to soil categories C or D, for which reduction factors to the shear wave velocity (Vs) and the shear modulus (G) of the soil are recommended.
For the purposes of the present study, the soil–structure interaction effect was investigated by using formulas [
41], which model the foundation-soil system as a discrete system consisting of frequency independent springs, dashpots and masses. More specifically, for each model examined in this study, an additional case was analyzed. In these cases, the fixed supports (as defined in the initial models) (M1fix, M2fix) were replaced by link elements with specific mechanical properties (M1ssi, M2ssi).
To apply the aforementioned formulas, the length of the foundation strips was calculated and then divided by the number of masonry joints at the foundation level. The width of the foundation strips is 1.05 m, the calculated length is 0.27 m, so α = 0.27 m. The shear wave velocity was taken as 150 m/s, the soil density as ρ = 1900 kg/m
3 [
39], and the Poisson’s ratio as ν = 0.3. Based on these values, the shear modulus G was calculated as 42,750.00 KPa. Applying a reduction coefficient of 0.37 [
40], the reduced shear modulus becomes 15,817.50 KPa, corresponding to a reduced shear wave velocity of 91.24 m/s. The values of static stiffness (K) and damping (C) of each link element are presented in
Table 6. The soil was assumed to be massless.
To ascertain the fundamental frequency of the site and evaluate possible resonance effects with the structure of the Archaeological Museum of Lemnos, calculations were conducted utilizing the established soil parameters. With a shear wave velocity of Vs = 150 m/s and presuming a typical soil layer depth of H = 30 m for Category D soils, the fundamental frequency of the soil deposit was computed using the quarter-wavelength approximation: f0 = Vs/(4H) = 150/(4 × 30) = 1.25 Hz. The shear modulus G = 42,750.00 KPa was obtained from the equation G = ρVs2, where ρ = 1900 kg/m3 and Vs = 150 m/s, confirming the relatively soft characteristics of the soil typical of Category D classification. The computed site frequency of 1.25 Hz is within the typical range for historic masonry buildings (0.8–2.0 Hz), indicating potential resonance conditions that could significantly enhance the seismic response. This frequency analysis lays the physical groundwork for understanding why the SSI effects led to increased peak tensile stress and interstorey drift ratios, as the structure-soil system likely underwent dynamic amplification when the building’s fundamental frequency neared the site frequency, especially following various strengthening interventions that may have modified the original structural frequency.
6. Discussion
The analyses conducted under both static and dynamic loading conditions reveal critical differences in the structural behavior of Models 1 and 2, and highlight the influence of soil–structure interaction (SSI) on their seismic performance.
With regard to the static analysis, soil–structure interaction results in varying tensile stress distributions across the building elevations, thereby preventing the derivation of reliable conclusions. However, a comparison of compressive stresses within the building’s external masonry indicates that models incorporating SSI effects exhibit lower stress levels.
The two models, M1 and M2, were subjected to particularly high seismic loads. Elastic dynamic time history analysis of the selected events revealed significant damage across all four elevations of both models. This damage includes the ramming of the external masonry by floor joists and transverse masonry, and pertains to the influence of roof loads on the external walls, as well as to both in-plane and out-of-plane failure mechanisms. These mechanisms indicate potential wall collapse, as evidenced in the SMAX tables for Elevation 4.
However, the observed failure pattern of the second floor does not accurately reflect its actual structural behavior, as the wooden elements were not simulated. Consequently, the influence of the embedded timber frames (friggia) and the timber-framed internal walls was not taken into account, rendering the second-floor masonry more vulnerable to seismic actions.
Regarding SSI influence, the conclusions according to
Table 11 and
Table 12 are summarized below:
In Model M1, the maximum SMAX value is observed in case M1ssiKoc1, exhibiting a 93% increase compared to M1fKoc1. Stress increases are observed across all M1ssi models, ranging from 15% to 93%.
In Model M2, the maximum SMAX value is observed in case M2ssiNor1, exhibiting a 55% increase compared to M2fNor1. The Kah1 and Kah2 events exhibit stress reductions under SSI conditions. Overall, the observed increases range from 26% to 55%, while the reductions range from 13% to 19%.
A comparison between Models M1 and M2 reveals an increase in stress across all M2 cases, with the exception of M2ssiKah1, which presents a 14.25% decrease relative to M1ssiKah1. Additionally, all M2 cases exhibit a delay in the timing of peak stress occurrence compared to M1.
In Model M1, the maximum SMAX value is observed in case M1ssiKah1, exhibiting an increase of 123.24% compared to M1fKah1. All cases show increases ranging from 78% to 125%, indicating that stress increases on the first floor are significantly higher than those on the ground floor.
In Model M2, the maximum SMAX value is observed in case M2ssiNor2, exhibiting an increase of 32% compared to M2fNor2. However, the greatest increase occurs in the Koc2 event, reaching 50%. Unlike the ground floor, no event exhibits stress reduction under SSI conditions. Overall, stress increases in this model range from 1% to 50%.
A comparison between Models M1 and M2 shows that all M2fix models exhibit increased stress, except for cases M2fkah1 and M2fKoc2. In contrast, M2ssi models show a reduction in stress compared to M1ssi. Finally, similar to the ground floor, all M2 cases—except for M2fKoc1—exhibit a delay in the timing of peak stress occurrence compared to M1.
The findings indicate that the influence of soil–structure interaction (SSI) on stress amplification is more significant in Model M1, which exhibits a shorter fundamental period due to increased stiffness resulting from masonry consolidation via grout injection. Model M2, by comparison, which features greater mass, reduced masonry stiffness, and a longer fundamental period than M1, also experiences stress increases under SSI (with the exception of the Kahramanmaraş earthquake), albeit to a lesser extent.
It is also important to note that, on the second floor, soil–structure interaction results in stress reduction across all combinations for Model M2. Interestingly, the second-floor masonry in Model M1 is reinforced with timber laces at both the floor and roof levels, yet exhibits greater stiffness and strength compared to M2. In contrast, in Model M2 there is a reinforced concrete beam at roof level. Nevertheless, stress exceedances are observed in both models, while the structural system of M2 appears to be more vulnerable under the seismic scenarios examined in this study.
Concerning interstorey drift ratios (IDRs), SSI increases the relative floor displacements—typically by nearly double—across most seismic combinations and structural models. The sole exception is case M2Kah2, in which the maximum IDR value remains unchanged.
Regarding in-plane deformation, no IDR value exceeded the 4‰ threshold, with drift ratios remaining low (around 0.2‰). However, out-of-plane deformation exhibited significantly higher values on the second floor, particularly in cases M2ssiKah1, M2ssiKoc1, M2ssiKoc2, M2fixNor2, and M2ssiNor1 and Nor2, where the 8‰ threshold was surpassed. The IDR differences for each seismic scenario are listed below in detail:
In the Kahramanmaraş earthquake, the maximum IDR on the second floor is recorded in case M1ssiKah1, reaching 6.8‰—the highest IDR value among all M1 seismic cases, in agreement with the values reported in
Table 11. The increases observed in the SSI models are 117% for the Kah1 event and 78% for Kah2.
In the Northridge earthquake, the maximum IDR on the second floor is recorded in case M1ssiNor2, reaching 6.5‰. The increases observed in the SSI models are 97% for the Nor1 event and 99% for Nor2.
In the Kocaeli earthquake, the maximum IDR on the second floor is recorded in case M1ssiKoc2, reaching 6.35‰. The increases observed in the SSI models are 89% for the Koc1 event and 88% for Koc2.
In the Kahramanmaraş earthquake, the maximum IDR on the second floor is recorded in case M2ssiKah1, reaching 9.53‰. With regard to the SSI models, the Kah1 event exhibits a 25% increase, while SSI has virtually no effect in the Kah2 event, as the IDR increases by only 1%.
In the Northridge earthquake, the maximum IDR on the second floor is recorded in case M2ssiNor2, reaching 10.41‰—the highest IDR value among all M2 seismic cases, in agreement with the values reported in
Table 11. The increases observed in the SSI models are 30% for the Nor1 event and 27% for Nor2.
In the Kocaeli earthquake, the maximum IDR on the second floor is recorded in case M2ssiKoc1, reaching 9.69‰ (Koc2 exhibits a nearly identical value of 9.63‰). The increases observed in the SSI models are 29% for the Koc1 event and 54% for Koc2.
A comparison between models M1 and M2 regarding the effects of SSI on IDRs leads to the same conclusion previously drawn concerning maximum stresses—namely, that SSI has a greater influence in model M1. Overall, the increase in IDRs observed in the SSI models is in line with [
16], where the incorporation of soil–structure interaction (SSI) into the analysis of historical load-bearing masonry structures revealed significant increases in drift ratios.
Finally, comparing models M1 and M2 in terms of IDR values, it is observed that, for the same seismic combination, maximum relative floor displacements exhibit significant increases on the second floor in M2. It is also observed, that the largest percentage increases are recorded in fix–based models. Specifically, the greatest percentage change is recorded in the M1fixKah2 and M2fixKah2 models (217%), with a range of values for all combinations spanning from 85% to 217%. The SSI models show an average percentage change in IDR of approximately 60%, with a range between 40% and 76%. It should be noted that this analysis refers to percentage changes; however, as mentioned above, the highest values are recorded in the Mssi models. The detected concentration of maximum displacements on the second floor in M2 could indicate that the RC interventions have led to an irregular distribution of stiffness, fostering soft-story behavior. This alarming finding suggests that the modern strengthening techniques may have inadvertently created new vulnerabilities. This analysis emphasizes the critical need to consider both the strengthening approaches and the soil-structure interaction effects when reviewing retrofit strategies for historic masonry structures, as the combination of these factors can profoundly impact the evaluation of structural performance and safety.
The study of [
17] and the present study underscore the vital significance of accurate soil classification in seismic analysis. The steel MRF study reveals that “assuming different soil types can influence the results of IDR_
Med and RDR_
Med, which can subsequently affect the performance of the building,” with soil type C increasing maximum IDR_
Med by 66.76% in comparison to soil type B for a 5-story MRF under DBE loading. In a similar vein, the present investigation of the Archaeological Museum indicates substantial SSI effects for Category D soils, where the soft soil conditions greatly enhance peak tensile stress and interstorey drift ratios. This parallel observation bolsters the reliability of the approach in explicitly modeling SSI effects, as both studies validate that neglecting proper soil characterization can lead to significant underestimation of seismic demands.
The comprehensive approach of the steel MRF study [
17], which utilizes 3456 performance curves derived from nonlinear dynamic analyses (NDAs) and incremental dynamic analyses (IDAs), establishes a benchmark for the validation level of analyses that enhances confidence in the research outcomes. In contrast, the present study’s dependence on linear time-history analyses employing equivalent linear soil modeling (with a 37% reduction in stiffness) could gain from a similar validation process through nonlinear analyses, especially considering the recognized limitations in addressing “gapping, sliding, and uplift” effects that are crucial for Category D soils. The methodology of the steel study indicates that a more thorough validation of the linear spring approach might reinforce the conclusions regarding the relative effectiveness of various strengthening strategies for the Archaeological Museum and this constitutes a limitation.
7. Conclusions
The findings of the present study indicate the critical role of SSI in the seismic behavior of load-bearing masonry buildings. Significant increases in both stresses and displacements were recorded in the models with elastic supports (link elements), clearly demonstrating the influence of SSI on the seismic response. Additionally, most cases exhibited a delay in the timing of peak structural response, indicating a dynamic coupling between the soil and the superstructure. On the contrary, excluding SSI effects from the seismic assessment of historical masonry buildings could result in a significant underestimation of seismic demand and, consequently, of the necessary strengthening interventions.
Finally, with regard to retrofitting interventions, the model that includes reinforced concrete (RC) additions (Model 2) showed higher stress concentrations on the story beneath the RC diaphragm (i.e., the ground floor), as well as significantly higher interstorey drifts on the second floor. Despite the potential benefits of RC-based interventions—such as improved box–type and diaphragm behavior etc.—their effectiveness depends on construction quality, proper detailing, and, most importantly, on adequate mechanical connection with the masonry. These measures should always be accompanied by direct strengthening of the masonry itself.
This study highlights the importance of this distinction by comparing two strengthening strategies: one focused on masonry strengthening (Model 1), and another emphasizing diaphragm strengthening through reinforced concrete (RC) intervention (Model 2). Based on the analysis results, the masonry-centered approach (Model 1) demonstrated better seismic performance, emphasizing its suitability for the seismic protection of historical masonry structures.